{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymysql\n",
    "from contextlib import contextmanager\n",
    "import datetime\n",
    "\n",
    "conn_kwargs =  {\n",
    "    'host': 'unicron.cluster-cbn1zk7uet6r.eu-west-1.rds.amazonaws.com', \n",
    "    'user': 'unicron', \n",
    "    'password': 'tydz5cy9xbvchqpa249rfekhcg9sey', \n",
    "    'db': 'unicron', \n",
    "    'charset': 'utf8mb4'\n",
    "}\n",
    "\n",
    "@contextmanager\n",
    "def get_cursor(commit_after=False):\n",
    "    connection = pymysql.connect(**conn_kwargs)\n",
    "    try:\n",
    "        with connection.cursor() as cur:\n",
    "            yield cur\n",
    "            if commit_after:\n",
    "                connection.commit()\n",
    "            else:\n",
    "                connection.rollback()\n",
    "    finally:\n",
    "        try:\n",
    "            connection.close()\n",
    "        except Exception as e:\n",
    "            print(\"Warning, failed to close connection\")\n",
    "            print(e)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _sql_to_dataframe(sql_statement, columns, sql_args=[], index_column=None):\n",
    "    with get_cursor(False) as cur:\n",
    "        cur.execute(sql_statement, sql_args)\n",
    "        rows = cur.fetchall()\n",
    "        df = pd.DataFrame(data=rows, columns=columns)\n",
    "        if index_column:\n",
    "            df = df.set_index(index_column)\n",
    "        return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = pd.read_csv('/Users/joel/src/thundr/spartus/js/data.csv', names=['time', 'listeners'], index_col=0)\n",
    "df = _sql_to_dataframe(\n",
    "    '''select ts, listeners from deathbed_listeners''', \n",
    "    columns=['ts', 'listeners'], \n",
    "    index_column='ts'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.listeners = pd.to_numeric(df.listeners, errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index = pd.to_datetime(df.index, unit='ms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>listeners</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ts</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-10 22:05:00</th>\n",
       "      <td>3947.915094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10 22:10:00</th>\n",
       "      <td>4058.436242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10 22:15:00</th>\n",
       "      <td>4050.926174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10 22:20:00</th>\n",
       "      <td>4048.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10 22:25:00</th>\n",
       "      <td>3923.906667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02 13:35:00</th>\n",
       "      <td>8868.818792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02 13:40:00</th>\n",
       "      <td>8941.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02 13:45:00</th>\n",
       "      <td>9062.573333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02 13:50:00</th>\n",
       "      <td>8970.860000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02 13:55:00</th>\n",
       "      <td>9097.046512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5951 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       listeners\n",
       "ts                              \n",
       "2020-02-10 22:05:00  3947.915094\n",
       "2020-02-10 22:10:00  4058.436242\n",
       "2020-02-10 22:15:00  4050.926174\n",
       "2020-02-10 22:20:00  4048.266667\n",
       "2020-02-10 22:25:00  3923.906667\n",
       "...                          ...\n",
       "2020-03-02 13:35:00  8868.818792\n",
       "2020-03-02 13:40:00  8941.340000\n",
       "2020-03-02 13:45:00  9062.573333\n",
       "2020-03-02 13:50:00  8970.860000\n",
       "2020-03-02 13:55:00  9097.046512\n",
       "\n",
       "[5951 rows x 1 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample('300s').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11134bb70>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.resample('300s').mean().plot(figsize=(15, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "hourly = df.resample('5min').mean().resample('60min').max() - df.resample('5min').mean().resample('60min').min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117574f60>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hourly.plot(figsize=(10, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdn = df.resample('1H').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11a910908>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t21HFs5+vZOK0lSxaV7rHY7q2SeeKY3ty1tAuDOqSqXWxmjglXCIiIlGyvbKG+95fzCMfLWVbRTV53dtw09j+dMxMJTEhAQM6ZqZxWIeWZNd5Tp80fUq4REREoqCm1jnnbx+zYO02xg3pxNXH92ZoV619JRFKuERERKIgMcH4n+N70aV1Okf0ahvr6kicUcIlIiISJeeN7BrrKkicSoh1BURERESaOiVcIiIiIiFTwiUiIiISMiVcIiIiIiFTwiUiIiISMiVcIiIiIiFTwiUiIiISMiVcIiIiIiFTwiUiIiISMiVcIiIiIiFTwiUiIiISMiVcIiIiIiFTwiUiIo2Gu8e6CiIHRQmXiIjEPXdn0herOOfvn1BWUR3r6ogcsKRYV0BERKQ+y0vK+MUrc/lw0QaG5GSxsaySjFT9+ZLGZZ8jXGbWz8xm1fnaamY/NLNsM5tsZouC722C483M/mJmhWY228xG1jnXZcHxi8zssjAbJiIijd+Tny3n1D9/wMwVm/n1WQN55dqj6ZbdItbVEjlg+/wvgrsvAIYDmFkiUAy8DNwEvO3ud5jZTcHrG4GxQJ/gawxwHzDGzLKBW4E8wIHpZjbJ3TdFvVUiItLofbBwPb/851yO7dOeO78+lE5ZabGukshBO9A5XCcDi919OTAeeCwofww4J9geDzzuEZ8Brc2sM3AaMNndNwZJ1mTg9ENugYiINCnuztNTVnD1k9Pp06El9186UsmWNHoHehH8YuCZYLuju68OttcAHYPtHGBlnfcUBWV7KxcREQGgtta57bV8HvpoKccc1o4/XjCUFimaryWN335/is0sBTgbuHn3fe7uZhaVe3XN7CrgKoDc3NxonFJERBqBqppabnhhNi/PLObyo3rwqzMHkpBgsa6WSFQcyCXFscAMd18bvF4bXCok+L4uKC8GutV5X9egbG/lX+LuD7h7nrvntW/f/gCqJyIijVVtrXPji5Fk6yen9OXWs5RsSdNyIAnXN/jv5USAScDOOw0vA/5Zp/xbwd2KRwBbgkuPbwCnmlmb4I7GU4MyERFp5v7wegEvzSjmR1/ry/Un98FMyZY0Lft1SdHMMoBTgP+pU3wHMNHMrgCWAxcG5a8B44BCoBz4NoC7bzSz3wJTg+N+4+4bD7kFIiLSqP3fB0v4xwdL+OYR3fn+yYfFujoiodivhMvdy4C2u5WVELlrcfdjHbh2L+d5GHj4wKspIiJN0UszirjttXzGDenEr88epJEtabL0aB8REYmJdxes44YXZnNU77b8+aLhJGrOljRhSrhERKTBzVyxie89OYN+nVrxj2+OIjUpMdZVEgmVEi4REWlQheu28e1Hp9IhM5VHvz2aVmnJsa6SSOiUcImISINZsr6Ubz30OUkJCTz+ndG0b5Ua6yqJNAgt3ysiIg1iyfpSLrj/UwAev2I03dtmxLhGIg1HCZeIiIRu644qvvvYNBx44eoj6dW+ZayrJNKgdElRRERCd+frBSwrKeP+S0cp2ZJmSQmXiIiEak7RFp6asoLLjurB6J7Zsa6OSEwo4RIRkVA98OESWqUm8eNT+sa6KiIxo4RLRERCs6G0gtfnrubro7pq+Qdp1pRwiYhIaF6cXkRVjTNhTG6sqyISU0q4REQkNC/PLGZkbmsO69Aq1lURiSklXCIiEoqCNVspWLONc0bkxLoqIjGnhEtERELxysxVJCYYZwzpHOuqiMScEi4REYm6mlrn5ZlFHN+3PW1b6vE9Ikq4REQk6j5YtJ61Wyu4MK9rrKsiEhf0aB8RkSiqqqll6rKNvDC9iIrqWi4ZncvRh7WLdbUa3AvTisjOSOGk/h1jXRWRuKCES0QkCmYXbeaJT5fz7zmrKa+sISs9meTEBCbPW8s9Fw/n9MGdqKyp5T9z1vDs1BWs3LidG8f25+xhXWJd9ajbVFbJ5PlrufSI7qQk6UKKCCjhEhHZL7W1zpvz1/LyzCI2l1fRKi2ZBIMd1bUs3VDKyo3baZGSyFlDu3Bs33ac3L8jFdU1THhwCtc8NYPOWWls3V5FWWUNvdtnkJmezI+em0Wr1CRO7N8h1s2Lqn/OKqayppYLdDlRZBdz91jXYa/y8vJ82rRpsa6GiDRzU5aU8Lt/5zOneAuds9Lolt2CrdurAEhNTqRTZirH9GnP+OFdyNxtNfXK6lomTlvJ9OWbyEhN5JSBnTj2sHZsr6rhgvs/ZdWW7fznB8fSOSs9Fk2LOndn3F8+IinB+Nf1x8S6OiINysymu3venvZphEtEZC+Wl5Tx+9cKeH3eGjpnpXHXhcM4e1gXkhL3/zJZSlIClx7RnUuP6P6l8ozUJO69ZARn/vUjfvb8bJ64YjRmFu0mNLi389eRv3ord359aKyrIhJXlHCJiOxm644q7n2nkEc/XkZigvHjU/py5bG9SE9JjGqcXu1bcsu4AfzilblMnLaSiw5v3I+/WbmxnDvfKKBH2xacO1KLnYrUpYRLRAQoXLeNRz5expziLRSs2UZVTS3nj+zKT0/rR8fMtNDiXjI6l1dnr+J3r+ZzfN8OdMoKL1YYNpRWcN97i3krfy3LS8pJSUzgbxNGknwAo4AizYHmcIlIs7Z6y3bunryI56evJC05keHdWjOoSybjh+cwOCerQeqwvKSM0+7+gGFdW/PAt/LISk/e95viwJbyKi78x6cs2VDKcX3ac3jPbM4dkRNqgioSzzSHS0RkN1vKq/j7+5HLhu5w+VE9ufbE3jFZFb172wxuP3cIN7wwm5P+9B5DumZhwKmDOnFiv/gc9aqpda57ZgZLNpTyyOWjOaZP81trTORAKOESkWZlU1klT3++gn+8v5htFdWcOzyHH53Sl27ZLWJar/NGdqVHuwwe/XgZhetKKa+s5uaX5gAwvFtrfvi1PpzQL36Wj7j7rYV8uGgDt587RMmWyH5QwiUiTVpZRTUFa7Yxf/VWZi7fxL/nrKaiupYT+7XnhtP7M6BzZqyruMvI3DaMzG0DRJZXmLdqKx8XbuCZz1dw+SNTufyoHtw0tj9pydGdvL8vK0rKeWVWMfNXbaVwfSnZGSl8vnQjF+Z15RujuzVoXUQaK83hEpFGyd0pKatk3dYK1m3bwfptFawvraC8ooaK6hqKN29n/qqtLN9Yzs5uLis9mTOHduZbR/agX6dWsW3AAdhRVcMfXi/gkY+X0bNdBteeeBjjh3cJdWL6rJWbeeyTZUxZUsKqLTtIMOjRNoNe7TPIX72NYd2yuOfiEZocL1JHfXO4lHCJSKMyY8Um3pi7hrfy17J4fdlX9icYpCYl0r5VKgM7ZzKwSyYDgu9dstIa9VpX7y9cz+9fy6dgzTa6ZKVx+uDODOqSyZhe2eS0TmdzeRU7qmtokZxEWkoCKYkJB9ze6ppa7n23kL++U0irtCSOOawdQ3KyGD88Jy7nkonEE02aF5FGrayimk8Wl/CfOat5aWYxyYnGyNw2fGN0Ljmt0+mQmUr7lmm0b5Ua9bWy4snxfdtzXJ92vFOwjic+W86Tny2nsqZ2r8enJCbQpXUaXdu0oGubdI7s3ZZTB3ba689o3dYdfO+pGUxbvolzR+Twv+MHfWXlfBE5OBrhEpG4U7huGx8t2kD+6m3MW72FgtXbqK51MlISuXh0Lj8+pS8Zqfr/YlVNLUs3lPFJ4QY2lleRlZ5Mi5REtlfWsL2qhq3bqyjevJ2iTdtZsbGcjWWVZKQkcu7IHK4/qc+Xlm+Yvnwj1zw5g207qrnj60MYP1wLl4ocKF1SFJG4V15ZzeOfLufF6UUsWlcKQHZGCgM7ZzKkaxbHHtaOvB7ZpCRpztDBqK11Pl+2kRenF/HKrGISzLj0iO58bUBHCtZs5fbX8unSOp1/fHMU/TvFz40EIo2JEi4RiVvVNbU88dly/vZuIRtKKxndI5szh3Xm5AEdG/2cq3i1cmM5f568kH9+sYqa2sjfgBP6teeei0aQ1UKXEEUOlhIuEYlLs4s2c9OLc5i/eitH9W7LT07tx6jubWJdrWZjc3kls1ZuJjUpkdE9s0lMUHIrcig0aV5E4kp5ZTX/782FPPLxUtq1TOX+S0dy2qBOGs1qYK1bpMTVYqoiTZkSLhFpUO8tWMfPX55L8ebtXDImlxtP799onh0oInKw9mv2qZm1NrMXzKzAzPLN7EgzyzazyWa2KPjeJjjWzOwvZlZoZrPNbGSd81wWHL/IzC4Lq1EiEn82lFbwg2dncvkjU0lLTmDi/xzJ7ecOUbIlIs3C/o5w3QO87u7nm1kK0AK4BXjb3e8ws5uAm4AbgbFAn+BrDHAfMMbMsoFbgTzAgelmNsndN0W1RSISV6pqanlxehF3vF5AWUU1Pzi5D987sTepSU13vSwRkd3tM+EysyzgOOByAHevBCrNbDxwQnDYY8B7RBKu8cDjHpmN/1kwOtY5OHayu28MzjsZOB14JnrNEZFYq611lm8sZ27xFmau2Mx/5q5m9ZYdjOrehjvOG0Kfjo3nkToiItGyPyNcPYH1wCNmNgyYDvwA6Ojuq4Nj1gAdg+0cYGWd9xcFZXsrF5FGbHlJGVOXbWLeqi3MK97K/NVbKa2oBiIrnR/Tpx2/O2cwJ/XvoEnxItJs7U/ClQSMBK539ylmdg+Ry4e7uLubWVTWlzCzq4CrAHJzc6NxShEJwdINZdz91kImfbEKd0hPTmRgl0zOG5nDoC6ZDOqSRd+OrbRQqYgI+5dwFQFF7j4leP0CkYRrrZl1dvfVwSXDdcH+YqBbnfd3DcqK+e8lyJ3l7+0ezN0fAB6AyDpc+90SEQldba0zq2gzz32+khdmFJGSmMDVx/fm6yNz6NmupdZxEhHZi30mXO6+xsxWmlk/d18AnAzMD74uA+4Ivv8zeMsk4Doze5bIpPktQVL2BnD7zrsZgVOBm6PbHBGJNndn+vJNTPpiFW/MW8ParRWkJCbwzSO6870Te9OhVdq+TyIi0szt712K1wNPBXcoLgG+TWRJiYlmdgWwHLgwOPY1YBxQCJQHx+LuG83st8DU4Ljf7JxALyLxpbqmlk8Wl/Dv2auZsrSEZSXlpCUncELfDpw2uCMn9euoR8CIiBwAPdpHRHaZv2orT3++nP/MWUNJWSWtUpMY06stJ/ZvzznDc8hI1VrJIiJ7o0f7iMhe1dQ67xSs4+GPlvLpkhLSkhP42oCOnDWsC8f3bU9astbLEhE5VEq4RJqx5SVlXP/MTGYXbaFLVho3j+3PxYfn6nKhiEiUKeESaYZ2VNXwwAdL+Pt7haQkJvDni4Zx1tAuJCVqCQcRkTAo4RJp4soqqilYs5WNZVVsKqtkWUkZr8wsZtWWHYwb0olfnDGQLq3TY11NEZEmTQmXSBPl7jzwwRLufbeQbTuqd5WbwVG92/KnC4dxVO92MayhiEjzoYRLpAlyd377aj4Pf7yUk/t34Bujc+mQmUp2RgptM1JJT9FEeBGRhqSES6QJevSTZTz88VIuP6oHt541UM8wFBGJMc2QFWliPli4nt++Op9TBnbkV2cq2RIRiQdKuESakMXrS7n26Rn07diKuy8aToKebSgiEheUcIk0EVvKq/juY9NISUzgwcvytCq8iEgcUY8s0gRU19Ry7dMzKNpUztNXHkHXNi1iXSUREalDCZdIE/DIx8v4qHADd359KIf3yI51dUREZDdKuESagG8e2Z0OmamMH54T66qIiMgeaA6XSBOQlpyoZEtEJI4p4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIuERERkZAp4RIREREJmRIukUPk7tz+Wj6L15fGuioiIhKnlHCJHKLnpxfxwAdL+HzpxlhXRURE4tR+JVxmtszM5pjZLDObFpRlm9lkM1sUfG8TlJuZ/cXMCs1stpmNrHOey4LjF5nZZeE0SaTh5K/eyu2v5XN4jzZclNct1tUREZE4lXQAx57o7hvqvL4JeNvd7zCzm4LXNwJjgT7B1xjgPmCMmWUDtwJ5gAPTzWySu2+KQspm/GgAABc2SURBVDtEQuHuTFu+iX99sYqS0kpq3UlPTqRFaiJFm7bzceEGstJT+P15Q0lIsFhXV0RE4tSBJFy7Gw+cEGw/BrxHJOEaDzzu7g58ZmatzaxzcOxkd98IYGaTgdOBZw6hDtKE1NY6q7ZsZ8v2KsoqakhMgGUbylm7bQeV1bWkJScyoltrRvfMxiz85ObTxSXc/NJslpWUk56cSE6bdBIMyipqKK+spn2rVC49ojvXn9SH7IyU0OsjIiKN1/4mXA68aWYO/MPdHwA6uvvqYP8aoGOwnQOsrPPeoqBsb+XSzBVtKueuyQt5Y+4ayipr9nn8qO5tuPH0/ozumb3fMbZsryJ/9Va+WLmZlZvKSUtKpEVKIhmpSYzIbcPI3NYkJUausJdVVPOXdxbxfx8soUe7DO66cBinDepERuqh/P9ERESas/39C3KMuxebWQdgspkV1N3p7h4kY4fMzK4CrgLIzc2NxikljlVU1/Ddx6axvKScs4d1YVi31mRnJNMyNZnq2lpyWqfTLbsFyYkJlO6o5tU5q7jnrUVc+I9POal/B75zdE+GdcuiZWrSrlGvmlpn/qqtfLJ4A+8UrGPh2m1sKq/aFTMrPZmqmlrK6yR3rdKSOK5PezLTk3l97mo2lVdxYV5XfnXWIFoq0RIRkUO0X39J3L04+L7OzF4GRgNrzayzu68OLhmuCw4vBurOHu4alBXz30uQO8vf20OsB4AHAPLy8qKSxEn8+vPkRRSs2cZDl+Vx8oCO9R6b1SKZCWO6c96Irjz6yTLue6+QdwoiH7uUxASyM1JokZLIum0VlFZUAzCwcyZjh3SmR9sW9OnQiqFds2jbMhWIzM/asr2Kz5aU8G7Bet5buI4dVbWM6ZnN1Sf0ZmRum3AbLyIizYZFplrVc4BZBpDg7tuC7cnAb4CTgZI6k+az3f0GMzsDuA4YR2TS/F/cfXQwaX46sPOuxRnAqJ1zuvYkLy/Pp02bdohNlHg1ddlGLvzHp1yU1407vj70gN+/o6qGDxauZ1lJGSVllZSUVrK9qobsFink9WjDEb3a0jEzLYSai4iIfJWZTXf3vD3t258Rro7Ay8HlmiTgaXd/3cymAhPN7ApgOXBhcPxrRJKtQqAc+DaAu280s98CU4PjflNfsiVNW1lFNT+Z+AVd26TzizMHHtQ50pITOXVQpyjXTEREJPr2mXC5+xJg2B7KS4iMcu1e7sC1eznXw8DDB15Naexqa538NVtpm5FKZnoSv3hlLis3lfPcVUdqjpSIiDR5+ksnoSutqOYHz8zk7WC+lRm4w/dPOuyA7jQUERFprJRwSajcnR8/N4v3Fq7nZ6f1IzM9mTVbtnN83w5KtkREpNlQwiWheuyTZbw5fy2/OGMA3z22V6yrIyIiEhN6eLWEZm7xFm5/rYCT+3fgimN6xro6IiIiMaOES0KxbUcV1z09g7YtU/jTBcMa5FE8IiIi8UqXFCUUt/5zHis3befZq46gjZ4zKCIizZxGuCTqpi/fxEszi7nm+N4c3kMT40VERJRwSVS5O7e/lk/7Vqlcc0LvWFdHREQkLijhkqh6Y94api/fxI9P6UuGFjQVEREBlHBJFFVW13LHfwro06ElF4zqGuvqiIiIxA0lXBI1T09ZzrKScm4ZN4CkRH20REREdtJfRYmKLduruOftRRzVuy0n9Gsf6+qIiIjEFSVcEhX3vbeYTeVV3DJugNbcEhER2Y0SLjlkxZu38/DHSzlvRA6Dc7JiXR0REZG4o4RLDtmf3lgAwE9O6xfjmoiIiMQnJVxySOYWb+HlmcV85+ie5LROj3V1RERE4pISLjlo7s5t/86nTYtkvneiFjkVERHZGyVcctDeXbCOT5eU8IOT+5CZlhzr6oiIiMQtJVxyUKprarn9tQJ6tG3BJWO6x7o6IiIicU0JlxyUidOKKFxXyk1j+5OSpI+RiIhIffSXUg5YdU0tf3u3kBG5rTltUKdYV0dERCTuKeGSA/ba3DUUb97O9044TIucioiI7AclXHJA3J1/vL+YXu0yOLl/h1hXR0REpFFQwiUH5D9z1zBv1Va+d+JhJCRodEtERGR/KOGS/VZVU8uf3lxAnw4tOXdETqyrIyIi0mgo4ZL99tgny1iyvowbT+9Poka3RERE9psSLtkvheu2cc9bizi+b3tOHqC5WyIiIgdCCZfs08qN5Ux4cAqpyYn87pzBujNRRETkACnhknoVbYokWzuqannyu6Pplt0i1lUSERFpdJJiXQGJX2/MW8PPnv8Cd3j8itH075QZ6yqJiIg0Skq45Csqqmv4/WsFPPrJMobkZHHvJSPo3jYj1tUSERFptJRwyS5rt+7g7fx1PPjhEpZsKOM7R/fkxrH9SE1KjHXVREREGjUlXM1cTa0zef4a/vbuYuYUbwGgf6dWPHL54ZyoleRFRESiQglXM1ReWc3MFZv5cNEGXplZzJqtO+jVPoMbT+/PCf3a079TK92JKCIiEkVKuJqRlRvLefzTZTw3dSVbd1STmGCc0Lc9vzxzIKcN6khSom5aFRERCYMSrmZg6rKNPPjhEibPX4uZMXZwJ84f1ZXh3VrTukVKrKsnIiLS5O13wmVmicA0oNjdzzSznsCzQFtgOvBNd680s1TgcWAUUAJc5O7LgnPcDFwB1ADfd/c3otkY+a+yimremLeG1+as4a38tbRukcw1J/Tm0iO60zkrPdbVExERaVYOZITrB0A+sHMxpj8Af3b3Z83sfiKJ1H3B903ufpiZXRwcd5GZDQQuBgYBXYC3zKyvu9dEqS0C1NY6L80s5s7XC1i3rYJWaUn87LR+fOfonqSn6G5DERGRWNivhMvMugJnALcBP7bIjOqTgEuCQx4Dfk0k4RofbAO8ANwbHD8eeNbdK4ClZlYIjAY+jUpLmjl355PFJdz5egFfFG1hWLfW/PUbI8jrka0HTYuIiMTY/o5w3Q3cALQKXrcFNrt7dfC6CMgJtnOAlQDuXm1mW4Ljc4DP6pyz7nvkINXWOm/lr+VPby5g4dpSOmamcteFwzhneA4JSrRERETiwj4TLjM7E1jn7tPN7ISwK2RmVwFXAeTm5oYdrlH7aNEGfjVpLkvWl9GrXQZ/umAYZwzprEuHIiIicWZ/RriOBs42s3FAGpE5XPcArc0sKRjl6goUB8cXA92AIjNLArKITJ7fWb5T3ffs4u4PAA8A5OXl+cE0qimrrK5l8vy1PPbpMj5fupGe7TK45+LhjBvSmWQt6yAiIhKX9plwufvNwM0AwQjXT919gpk9D5xP5E7Fy4B/Bm+ZFLz+NNj/jru7mU0Cnjazu4hMmu8DfB7d5jRNNbXOuwXr+NfsVbxTsI5tO6rp2iadm8f257KjepCWrBEtERGReHYo63DdCDxrZr8DZgIPBeUPAU8Ek+I3ErkzEXefZ2YTgflANXCt7lCs34bSCiZOW8nTU1ZQtGk7bVokc/qgTowb0pnj+rbXZHgREZFGwtzj96pdXl6eT5s2LdbVaHCbyyv54xsLeH5aEZU1tRzRK5tLj+jOaYM66bKhiIhInDKz6e6et6d9Wmk+jrg77y5Yxy9fmce6bTs4f1Q3rjimB4d1aLXvN4uIiEjcUsIVJzaUVvDT57/gvQXr6d62BS9cfRTDurWOdbVEREQkCpRwxZi78+gny7hr8kIqqmu59ayBXHpEd106FBERaUKUcMVQaUU1N7zwBa/NWcPxfdvzizMG0KejLh+KiIg0NUq4YmRFSTnffXwqhetKuWVcf648theRJyCJiIhIU6OEKwamLdvIVU9Mp6bWeeKKMRx9WLtYV0lERERCpISrgb0xbw3XPz2TnDbpPHRZHr3at4x1lURERCRkSrgaiLvz1JQV/HrSPAbnZPHotw+ndYuUWFdLREREGoASrgbyi1fm8tSUFRzbpx1/mzCSzLTkWFdJREREGogSrgZy/qiuDOicyYQxuZocLyIi0swo4WogI3LbMCK3TayrISIiIjGg1TVFREREQqaES0RERCRkSrhEREREQqaES0RERCRkSrhEREREQqaES0RERCRkSrhEREREQqaES0RERCRk5u6xrsNemdk2YEHwMgvY0kChFUuxFEuxFEuxGmOsho7XkLHaARsaKNbBtqufu7fa4x53j9svYFqd7QcaMK5iKZZiKZZiKVaji9WU21Y3J4jXdtVXx8Z0SfFfiqVYiqVYiqVYihVX8Rq6bQ0l6u2K90uK09w9L9b1EBERkdhqDDlBfXWM9xGuB2JdAREREYkLjSEn2Gsd4y7hMrOHzWydmc119weCsgvMbJ6Z1ZpZ1LLburHqlP3RzArMbLaZvWxmrUOO99sg1iwze9PMuoQVq86+n5iZm1m7sGKZ2a/NrDho1ywzGxdWrKD8+uDfbZ6Z3RlWLDN7rk6blpnZrBBjDTezz4JY08xsdIixhpnZp2Y2x8z+ZWaZUYrVzczeNbP5wb/ND4LybDObbGaLgu9tQooTVt+xt3hR7z/qiRX1vmNvsersj1rfUU+7ot531NeuaPcd9bQr6n1HPbGi3nfUEyuUvmNPduYE0WZmp5vZAjMrNLObgrKngrK5QZ+ZfMh1bKgJaAcw4ew4YCQwt07ZAKAf8B6QF3KsU4GkYPsPwB9CjpdZZ/v7wP1hxQrKuwFvAMuBdiG269fATxvo83Ei8BaQGrzuEObPsM7+/wf8KsR2vQmMDbbHAe+FGGsqcHyw/R3gt1GK1RkYGWy3AhYCA4E7gZuC8psO9fesnjhh9R17ixf1/qOeWFHvO/YWK3gd1b6jnnZFve+oJ1bU+476foZ1jolK31FPu6Led9QTK5S+o6G+gERgMdALSAG+CNo1DrDg6xngmkONFXcjXO7+AbBxt7J8d1+wl7dEO9ab7l4dvPwM6BpyvK11XmYAUZlUt6dYgT8DN0Qrzj5iRd1eYl0D3OHuFcEx60KMBYCZGXAhkV/EsGI5sPN/i1nAqhBj9QU+CLYnA1+PUqzV7j4j2N4G5AM5wHjgseCwx4BzwogTYt+xt3hR7z/qiRX1vqOefy+Ict+xj1hRVU+sqPcd+2pXNPuOemJFve+oJ1YofcdeRp2uC15H7QoNMBoodPcl7l4JPAuMd/fXPAB8ThR+l+Mu4Yoz3wH+E3YQM7vNzFYCE4BfhRhnPFDs7l+EFWM31wWXPB4+1EtG+9AXONbMppjZ+2Z2eIixdjoWWOvui0KM8UPgj8Fn40/AzSHGmkckCQK4gMhoRlSZWQ9gBDAF6Ojuq4Nda4COIcUJXT3xot5/7B4rzL6jbqyw+449/AxD6zt2ixVq37GXz0YofcdusULtO3aLFfW+w8wSgb8BY4mMNn3DzAYCHwNfIzLKGi05wMo6r4v4coKcDHwTeP1QAynh2gsz+zlQDTwVdix3/7m7dwtiXRdGDDNrAdxCiAndbu4DegPDgdVEhtDDkgRkA0cAPwMmBv+LDNM3iNLoVj2uAX4UfDZ+BDwUYqzvAN8zs+lELhdURvPkZtYSeBH44W4jMwT/g4zKqEl9ccKwt3hh9B97ihVW31E3FpF2hNZ37KFdofUde4gVWt9Rz2cx6n3HHmKF1nfsIVYYfcfeRp1muvuyKJz/QPwd+MDdPzzUEynh2gMzuxw4E5gQ/DFoKE8RpeHYPegN9AS+MLNlRIZHZ5hZpzCCuftad69x91rg/4j8AoWlCHgpGP39HKglsiJxKMwsCTgPeC6sGIHLgJeC7ecJ8Wfo7gXufqq7jyLyx2BxtM4d/A/xReApd9/ZnrVm1jnY3xk45Es5e4kTmr3FC6P/2I+2Ra3v2EOs0PqOPbUrrL5jLz/DUPqOej4bUe879hIrlL5jL/9eYfQd9Y46RVkxXx6V6xqUYWa3Au2BH0cjkBKu3ZjZ6UTmKZzt7uUNEK9PnZfjgYIw4rj7HHfv4O493L0HkQ/wSHdfE0a8nX9MA+cCX7lbMopeITL5FTPrS2TiY5iPf/gaUODuRSHGgMi8i+OD7ZOA0C5fmlmH4HsC8Avg/iid14j87zrf3e+qs2sSkT8KBN//GVKcUOwtXhj9Rz2xot537ClWWH1HPe2Ket9Rz+cj6n3HPj6LUe076okV9b6jnn+vUPqOBjQV6GNmPc0sBbgYmGRm3wVOA74RJP+HzuPgLoG6X0Qy5NVAFZFf7CuI/NIVARXAWuCNEGMVEsmsZwVfUblrsJ54LxLpUGYTWdk2J6xYu+1fRvTuUtxTu54A5gTtmgR0DjFWCvBk8HOcAZwU5s8QeBS4ugE+98cA04ncNTMFGBVirB8QuetoIXAHwaLIUYh1DJHLhbPr/E6NA9oCbxP5Q/AWkB1SnLD6jr3Fi3r/UU+sqPcde4u12zFR6TvqaVfU+456YkW976jvZxjtvqOedkW976gnVtT7DuDIur+rROag3Rztz2Cd840L6r8Y+HlQVh283tnWQ76rNK5XmhcREZHmJbj0uhA4mcjlvanAJe4+L9i/jMgyLw31IOuo0CVFERERiRseWVrlOiLrvuUDE919npl938yKiMyzmm1mD8ayngdKI1wiIiIiIdMIl4iIiEjIlHCJiIiIhEwJl4iIiMRU8LieJ+u8TjKz9Wb2aizrFU1KuERERCTWyoDBZpYevD6FYAHS/RXc3Ri3lHCJiIhIPHgNOCPY/tIjkMxstJl9amYzzewTM+sXlF9uZpPM7B0ia/vFLSVcIiIiEg+eBS42szRgKF9+6HcBcKy7jyDyXM/b6+wbCZzv7scTx+J6+E1ERESaB3efbWY9iIxuvbbb7izgseCRVg4k19k32d03NkglD4FGuERERCReTAL+RJ3LiYHfAu+6+2DgLCCtzr6yBqrbIdEIl4iIiMSLh4HN7j7HzE6oU57FfyfRX97QlYoGjXCJiIhIXHD3Inf/yx523Qn83sxm0kgHi/RoHxEREZGQaYRLREREJGRKuERERERCpoRLREREJGRKuERERKTBmVk3M3vXzOab2Twz+0FQnm1mk81sUfC9TVA+wcxmm9mcYLX5YXXOdbqZLTCzQjO7KVZtqo8mzYuIiEiDM7POQGd3n2FmrYDpwDlEln3Y6O53BMlTG3e/0cyOAvLdfZOZjQV+7e5jzCwRWEjk+YtFwFTgG+4+Pxbt2huNcImIiEiDc/fV7j4j2N4G5AM5wHjgseCwx4gkYbj7J+6+KSj/DOgabI8GCt19ibtXEnlE0PiGacX+U8IlIiIiMRU80mcEkecndnT31cGuNUDHPbzlCuA/wXYOsLLOvqKgLK40ysXDREREpGkws5bAi8AP3X2rme3a5+5uZr7b8ScSSbiOadCKHiKNcImIiEhMmFkykWTrKXd/KSheG8zv2jnPa12d44cCDwLj3b0kKC4GutU5bVf++xiguKGES0RERBqcRYayHiIyEf6uOrsmAZcF25cB/wyOzwVeAr7p7gvrHD8V6GNmPc0sBbg4OEdc0V2KIiIi0uDM7BjgQ2AOUBsU30JkHtdEIBdYDlzo7hvN7EHg60EZQLW75wXnGgfcDSQCD7v7bQ3WkP2khEtEREQkZLqkKCIiIhIyJVwiIiIiIVPCJSIiIhIyJVwiIiIiIVPCJSIiIhIyJVwi0uSZWWsz+16s6yEizZcSLhFpDloDSrhEJGb0LEURaQ7uAHqb2Swiq1L3AzKJ9IHXuPuHsayciDR9WvhURJo8M+sBvOrug83sJ0Cau99mZolAC3ffFtMKikiTpxEuEWlupgIPBw/NfcXdZ8W6QiLS9GkOl4g0K+7+AXAcUAw8ambfinGVRKQZUMIlIs3BNqAVgJl1B9a6+/8BDwIjY1kxEWkedElRRJo8dy8xs4/NbC6QAZSZWRVQCmiES0RCp0nzIiIiIiHTJUURERGRkCnhEhEREQmZEi4RERGRkCnhEhEREQmZEi4RERGRkCnhEhEREQmZEi4RERGRkCnhEhEREQnZ/wdcuQ4gwZCwzAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mdn.rolling(24).mean().plot(figsize=(10,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "YouTube From Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "yt1 = _sql_to_dataframe('''select ts, views1, comments1 from deathbed_youtubes''', columns=['ts', 'views', 'comments'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "yt1['views_per_minute'] = (yt1.views.diff() / yt1.ts.astype(int).diff() * 1e9 * 60)\n",
    "yt1['comments_per_minute'] = (yt1.comments.diff() / yt1.ts.astype(int).diff() * 1e9 * 60)\n",
    "yt1 = yt1.set_index('ts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11bec7160>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "yt1[['views_per_minute']].resample('1H').mean().iloc[-21*24:].rolling(24).mean().plot(figsize=(10,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "tt1 = _sql_to_dataframe('''select ts, videos from deathbed_tiktoks''', columns=['ts', 'videos'])\n",
    "\n",
    "tt1['videos_per_minute'] = (tt1.videos.diff() / tt1.ts.astype(int).diff() * 1e9 * 60)\n",
    "tt1 = tt1.set_index('ts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11bb2b630>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tt1[['videos_per_minute']].resample('1H').mean().rolling(24).mean().plot(figsize=(10,3), legend=False, title='TikToks / minute')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b8872b0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tt1[['videos_per_minute']].resample('24H').median().plot(figsize=(10,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = pd.merge(yt1.resample('1H').mean(), tt1.resample('1H').mean(), left_index=True, right_index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "m2 = merged.rolling(24).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11f9b5e10>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from pandas import DataFrame\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,7))\n",
    "# ax3 = ax.twinx()\n",
    "# rspine = ax3.spines['right']\n",
    "# rspine.set_position(('axes', 1.15))\n",
    "# ax3.set_frame_on(True)\n",
    "# ax3.patch.set_visible(False)\n",
    "# fig.subplots_adjust(right=0.7)\n",
    "\n",
    "m2.views_per_minute.plot(ax=ax, style='r-', title=\"YouTube And TikToks Rolling 24 Hour Average\")\n",
    "# same ax as above since it's automatically added on the right\n",
    "m2.videos_per_minute.plot(ax=ax, style='b-', secondary_y=True)\n",
    "# df.C.plot(ax=ax3, style='g-')\n",
    "\n",
    "# add legend --> take advantage of pandas providing us access\n",
    "# to the line associated with the right part of the axis\n",
    "ax.legend([ax.get_lines()[0], ax.right_ax.get_lines()[0]], ['YouTube Views / Minute', 'TikToks / Minute'])\n",
    "#            ['A','B','C'], bbox_to_anchor=(1.5, 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_day(dt):\n",
    "    return dt.date()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_minutes(dt):\n",
    "    \"\"\"Return floating point number of hours through the day in `datetime` dt.\"\"\"\n",
    "    return dt.hour*60 + dt.minute + dt.second / 60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ADDED_STREAMS = 1399394.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# YouTube Views"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, date, timedelta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytdf = pd.read_csv('/Users/joel/Downloads/YouTube Hourly Tracking - powfu death bed (1).tsv', sep=\"\\t\", thousands=',')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def excel_to_dt(d):\n",
    "    return datetime(1899,12,30,0,0,0) + timedelta(days=int(d), seconds=(d - int(d))*24*60*60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = 43879.05449"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "excel_to_dt(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytdf['ts'] = ytdf.Time.map(excel_to_dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytdelta = ytdf[['ts', 'Views']].set_index('ts').diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytdelta.insert(0, 'ts', ytdelta.index.astype(int) / 1e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytdelta[ytdelta.Views < 1e5].Views.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('/Users/joel/src/thundr/unicapp/src/test/youtube_sample.json','w') as fout:\n",
    "    simplejson.dump( ytdelta[ytdelta.Views < 1e5].to_numpy().tolist(),fout,ignore_nan=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tiktok videos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import simplejson\n",
    "import requests\n",
    "#__NEXT_DATA__.props.pageProps.musicData.posts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiktoks = pd.read_csv('/Users/joel/Downloads/YouTube Hourly Tracking - death bed tiktoks (4).tsv', sep=\"\\t\", thousands=',')\n",
    "# tiktoks = pd.read_csv('https://docs.google.com/spreadsheets/d/e/2PACX-1vREPbuSODE7aSdK_FdYhf7FattN8B0MBghQgL9vA2kUTIdHYSjBuROL39W2-922Wq02O05-s-njbmEF/pub?gid=1687580280&single=true&output=tsv', sep=\"\\t\", thousands=',')\n",
    "tiktoks.index = tiktoks.time.astype(numpy.datetime64)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ttdelta = tiktoks[['tiktok videos']].diff()\n",
    "ttdelta['ts'] = (tiktoks.index.astype(int) / 1e6).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('/Users/joel/src/thundr/unicapp/src/test/tiktok_sample.json','w') as fout:\n",
    "    simplejson.dump(slopes[['ts', 'videos']].to_numpy().tolist(),fout,ignore_nan=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slopes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slopes = (tiktoks['tiktok videos'].diff() / tiktoks.index.to_frame().diff().time.dt.seconds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slopes = slopes.to_frame('videos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slopes['ts'] = (slopes.index.astype(int) / 1e6).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slopes['videos'] = slopes['videos'] * 3600"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymysql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiktokdump = pd.read_csv('/Users/joel/Downloads/YouTube Hourly Tracking - death bed tiktoks (4).tsv', sep=\"\\t\", thousands=',')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiktokdump = tiktokdump[['time', 'tiktok videos']].rename(columns={'tiktok videos': 'tiktoks'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiktokdump"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "buff = io.StringIO()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "print(\",\\n\".join([ \n",
    "    f\"\"\"('{r[0]}', {r[1]})\"\"\" for r in tiktokdump.to_numpy()\n",
    "]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Country Timelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 556,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 557,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymysql\n",
    "from contextlib import contextmanager\n",
    "import datetime\n",
    "\n",
    "conn_kwargs =  {\n",
    "    'host': 'unicron.cluster-cbn1zk7uet6r.eu-west-1.rds.amazonaws.com', \n",
    "    'user': 'unicron', \n",
    "    'password': 'tydz5cy9xbvchqpa249rfekhcg9sey', \n",
    "    'db': 'unicron', \n",
    "    'charset': 'utf8mb4'\n",
    "}\n",
    "\n",
    "@contextmanager\n",
    "def get_cursor(commit_after=False):\n",
    "    connection = pymysql.connect(**conn_kwargs)\n",
    "    try:\n",
    "        with connection.cursor() as cur:\n",
    "            yield cur\n",
    "            if commit_after:\n",
    "                connection.commit()\n",
    "            else:\n",
    "                connection.rollback()\n",
    "    finally:\n",
    "        try:\n",
    "            connection.close()\n",
    "        except Exception as e:\n",
    "            print(\"Warning, failed to close connection\")\n",
    "            print(e)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 558,
   "metadata": {},
   "outputs": [],
   "source": [
    "# could store this in the db using spartus?\n",
    "def refresh_request_headers():\n",
    "    global headers\n",
    "    cookies = {\n",
    "        'sp_dc': 'AQAbb-xbg9Nm8VmJkpOLMHDWTQsGQ6-6iRsDn54H5InejBBarQbZeelQFeTBpDaxTTcKJYKqdBgRw94ann0E_b9_T2rp6mBGwNUSIZtuvi0',\n",
    "        'sp_key': '0eee0e06-6b39-4a63-b40d-0571506e7001'   \n",
    "    }\n",
    "\n",
    "    tokenRequest = requests.get(\n",
    "        \"https://generic.wg.spotify.com/creator-auth-proxy/v1/web/token?client_id=6cf79a93be894c2086b8cbf737e0796b\", \n",
    "        headers={\n",
    "            \"accept\":\"application/json\",\n",
    "            \"accept-language\":\"en-GB,en-US;q=0.9,en;q=0.8\",\n",
    "            \"sec-fetch-dest\":\"empty\",\n",
    "            \"sec-fetch-mode\":\"cors\",\n",
    "            \"sec-fetch-site\":\"same-site\",\n",
    "            \"origin\": \"https://artists.spotify.com\",\n",
    "            \"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36\",\n",
    "            \"referrer\":\"https://artists.spotify.com/c/artist/6bmlMHgSheBauioMgKv2tn/song/7eJMfftS33KTjuF7lTsMCx/stats?segment-filter=streams&time-filter=7day\",\n",
    "        }, cookies=cookies)\n",
    "    tokenRequest\n",
    "\n",
    "    accessToken = tokenRequest.json()['access_token']\n",
    "\n",
    "    headers = {\n",
    "        'authority': 'generic.wg.spotify.com',\n",
    "        'authorization': f'Bearer {accessToken}',\n",
    "        'content-type': 'application/json',\n",
    "        'accept': 'application/json',\n",
    "        'sec-fetch-dest': 'empty',\n",
    "        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36',\n",
    "        'spotify-app-version': '1.0.0.3229887',\n",
    "        'app-platform': 'Browser',\n",
    "        'origin': 'https://artists.spotify.com',\n",
    "        'sec-fetch-site': 'same-site',\n",
    "        'sec-fetch-mode': 'cors',\n",
    "        'referer': 'https://artists.spotify.com/c/artist/6bmlMHgSheBauioMgKv2tn/song/7eJMfftS33KTjuF7lTsMCx/stats?segment-filter=streams&time-filter=7day',\n",
    "        'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8',\n",
    "    }\n",
    "    return headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 561,
   "metadata": {},
   "outputs": [],
   "source": [
    "refresh_request_headers();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 562,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Countries\n",
    "top_countries_request = requests.get(\n",
    "    ('https://generic.wg.spotify.com/s4x-insights-api/v1'\n",
    "     '/artist/6bmlMHgSheBauioMgKv2tn'\n",
    "     '/recording/7eJMfftS33KTjuF7lTsMCx'\n",
    "     '/locations/streams?time-filter=28day&aggregation-level=recording'),\n",
    "    headers=headers\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 563,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(datetime.date(2020, 3, 4),\n",
       " {'geography': [{'name': 'DE', 'num': '1855383'},\n",
       "   {'name': 'TW', 'num': '163714'},\n",
       "   {'name': 'PS', 'num': '1363'},\n",
       "   {'name': 'HK', 'num': '93353'},\n",
       "   {'name': 'PT', 'num': '110481'},\n",
       "   {'name': 'HN', 'num': '20013'},\n",
       "   {'name': 'DK', 'num': '339256'},\n",
       "   {'name': 'LT', 'num': '38642'},\n",
       "   {'name': 'PY', 'num': '32303'},\n",
       "   {'name': 'LU', 'num': '15530'},\n",
       "   {'name': 'LV', 'num': '38915'},\n",
       "   {'name': 'DO', 'num': '18837'},\n",
       "   {'name': 'HU', 'num': '94453'},\n",
       "   {'name': 'QA', 'num': '16094'},\n",
       "   {'name': 'MA', 'num': '25794'},\n",
       "   {'name': 'MC', 'num': '539'},\n",
       "   {'name': 'DZ', 'num': '14737'},\n",
       "   {'name': 'ID', 'num': '1557178'},\n",
       "   {'name': 'IE', 'num': '337549'},\n",
       "   {'name': 'EC', 'num': '63997'},\n",
       "   {'name': 'US', 'num': '12394938'},\n",
       "   {'name': 'EE', 'num': '34657'},\n",
       "   {'name': 'EG', 'num': '24637'},\n",
       "   {'name': 'IL', 'num': '80651'},\n",
       "   {'name': 'AD', 'num': '2153'},\n",
       "   {'name': 'UY', 'num': '14401'},\n",
       "   {'name': 'AE', 'num': '62183'},\n",
       "   {'name': 'IN', 'num': '541727'},\n",
       "   {'name': 'MT', 'num': '20345'},\n",
       "   {'name': 'ZA', 'num': '74704'},\n",
       "   {'name': 'IS', 'num': '43573'},\n",
       "   {'name': 'MX', 'num': '1009609'},\n",
       "   {'name': 'IT', 'num': '558434'},\n",
       "   {'name': 'MY', 'num': '471780'},\n",
       "   {'name': 'ES', 'num': '448597'},\n",
       "   {'name': 'AR', 'num': '248196'},\n",
       "   {'name': 'AT', 'num': '187020'},\n",
       "   {'name': 'AU', 'num': '2489745'},\n",
       "   {'name': 'VN', 'num': '168042'},\n",
       "   {'name': 'NI', 'num': '6889'},\n",
       "   {'name': 'RO', 'num': '81927'},\n",
       "   {'name': 'NL', 'num': '968978'},\n",
       "   {'name': 'NO', 'num': '704504'},\n",
       "   {'name': 'BE', 'num': '250860'},\n",
       "   {'name': 'FI', 'num': '468808'},\n",
       "   {'name': 'BG', 'num': '20291'},\n",
       "   {'name': 'JO', 'num': '11656'},\n",
       "   {'name': 'JP', 'num': '227436'},\n",
       "   {'name': 'BH', 'num': '6438'},\n",
       "   {'name': 'NZ', 'num': '496753'},\n",
       "   {'name': 'FR', 'num': '927508'},\n",
       "   {'name': 'BO', 'num': '31870'},\n",
       "   {'name': 'SA', 'num': '67955'},\n",
       "   {'name': 'BR', 'num': '681767'},\n",
       "   {'name': 'SE', 'num': '1090674'},\n",
       "   {'name': 'SG', 'num': '513935'},\n",
       "   {'name': 'SK', 'num': '46258'},\n",
       "   {'name': 'GB', 'num': '2774172'},\n",
       "   {'name': 'CA', 'num': '2106229'},\n",
       "   {'name': 'OM', 'num': '4838'},\n",
       "   {'name': 'SV', 'num': '22395'},\n",
       "   {'name': 'CH', 'num': '234014'},\n",
       "   {'name': 'CL', 'num': '210477'},\n",
       "   {'name': 'GR', 'num': '57607'},\n",
       "   {'name': 'KW', 'num': '17034'},\n",
       "   {'name': 'CO', 'num': '93902'},\n",
       "   {'name': 'GT', 'num': '48663'},\n",
       "   {'name': 'CR', 'num': '50211'},\n",
       "   {'name': 'PA', 'num': '22356'},\n",
       "   {'name': 'TH', 'num': '146760'},\n",
       "   {'name': 'PE', 'num': '144382'},\n",
       "   {'name': 'LB', 'num': '6962'},\n",
       "   {'name': 'CY', 'num': '11698'},\n",
       "   {'name': 'CZ', 'num': '103057'},\n",
       "   {'name': 'PH', 'num': '2255456'},\n",
       "   {'name': 'TN', 'num': '11049'},\n",
       "   {'name': 'PL', 'num': '256999'},\n",
       "   {'name': 'LI', 'num': '556'},\n",
       "   {'name': 'TR', 'num': '194756'}]})"
      ]
     },
     "execution_count": 563,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_countries_json = top_countries_request.json()\n",
    "#loads('''[{\"name\":\"DE\",\"num\":\"769403\"},{\"name\":\"HK\",\"num\":\"39146\"},{\"name\":\"PS\",\"num\":\"668\"},{\"name\":\"TW\",\"num\":\"79614\"},{\"name\":\"PT\",\"num\":\"46928\"},{\"name\":\"HN\",\"num\":\"7816\"},{\"name\":\"DK\",\"num\":\"141913\"},{\"name\":\"LT\",\"num\":\"17626\"},{\"name\":\"LU\",\"num\":\"6084\"},{\"name\":\"PY\",\"num\":\"9464\"},{\"name\":\"LV\",\"num\":\"18235\"},{\"name\":\"DO\",\"num\":\"7210\"},{\"name\":\"HU\",\"num\":\"41020\"},{\"name\":\"QA\",\"num\":\"7673\"},{\"name\":\"MA\",\"num\":\"10951\"},{\"name\":\"DZ\",\"num\":\"6373\"},{\"name\":\"MC\",\"num\":\"175\"},{\"name\":\"ID\",\"num\":\"492831\"},{\"name\":\"IE\",\"num\":\"158656\"},{\"name\":\"EC\",\"num\":\"23588\"},{\"name\":\"US\",\"num\":\"6259857\"},{\"name\":\"EE\",\"num\":\"16670\"},{\"name\":\"EG\",\"num\":\"11276\"},{\"name\":\"IL\",\"num\":\"37508\"},{\"name\":\"AD\",\"num\":\"1101\"},{\"name\":\"UY\",\"num\":\"5507\"},{\"name\":\"AE\",\"num\":\"27942\"},{\"name\":\"IN\",\"num\":\"225164\"},{\"name\":\"ZA\",\"num\":\"35044\"},{\"name\":\"MT\",\"num\":\"8494\"},{\"name\":\"IS\",\"num\":\"19650\"},{\"name\":\"IT\",\"num\":\"215522\"},{\"name\":\"MX\",\"num\":\"343545\"},{\"name\":\"MY\",\"num\":\"177210\"},{\"name\":\"ES\",\"num\":\"176047\"},{\"name\":\"AR\",\"num\":\"94722\"},{\"name\":\"AT\",\"num\":\"85359\"},{\"name\":\"AU\",\"num\":\"1147511\"},{\"name\":\"VN\",\"num\":\"64364\"},{\"name\":\"NI\",\"num\":\"2503\"},{\"name\":\"RO\",\"num\":\"40855\"},{\"name\":\"NL\",\"num\":\"487522\"},{\"name\":\"NO\",\"num\":\"323064\"},{\"name\":\"BE\",\"num\":\"114117\"},{\"name\":\"FI\",\"num\":\"188350\"},{\"name\":\"JO\",\"num\":\"6244\"},{\"name\":\"BG\",\"num\":\"9622\"},{\"name\":\"JP\",\"num\":\"82288\"},{\"name\":\"BH\",\"num\":\"2524\"},{\"name\":\"NZ\",\"num\":\"234853\"},{\"name\":\"FR\",\"num\":\"302025\"},{\"name\":\"BO\",\"num\":\"12112\"},{\"name\":\"SA\",\"num\":\"31050\"},{\"name\":\"BR\",\"num\":\"247801\"},{\"name\":\"SE\",\"num\":\"484020\"},{\"name\":\"SG\",\"num\":\"224076\"},{\"name\":\"SK\",\"num\":\"20965\"},{\"name\":\"GB\",\"num\":\"1329040\"},{\"name\":\"OM\",\"num\":\"1926\"},{\"name\":\"CA\",\"num\":\"992253\"},{\"name\":\"SV\",\"num\":\"7867\"},{\"name\":\"CH\",\"num\":\"106096\"},{\"name\":\"CL\",\"num\":\"85073\"},{\"name\":\"GR\",\"num\":\"26780\"},{\"name\":\"KW\",\"num\":\"7097\"},{\"name\":\"CO\",\"num\":\"34043\"},{\"name\":\"GT\",\"num\":\"16119\"},{\"name\":\"CR\",\"num\":\"19040\"},{\"name\":\"PA\",\"num\":\"10088\"},{\"name\":\"TH\",\"num\":\"61585\"},{\"name\":\"PE\",\"num\":\"53797\"},{\"name\":\"CY\",\"num\":\"5367\"},{\"name\":\"LB\",\"num\":\"3327\"},{\"name\":\"CZ\",\"num\":\"44289\"},{\"name\":\"PH\",\"num\":\"839172\"},{\"name\":\"TN\",\"num\":\"4763\"},{\"name\":\"PL\",\"num\":\"110200\"},{\"name\":\"LI\",\"num\":\"251\"},{\"name\":\"TR\",\"num\":\"69491\"}]''')\n",
    "as_of = datetime.datetime.utcnow().date() - datetime.timedelta(days=1)\n",
    "(as_of, top_countries_json)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 564,
   "metadata": {},
   "outputs": [],
   "source": [
    "def store_top_countries(top_countries_json):\n",
    "    with get_cursor(True) as cur:\n",
    "        prep_rows = []\n",
    "        sql_args = []\n",
    "        for row in top_countries_json['geography']:\n",
    "            sql_args.extend([row['name'], as_of.isoformat(), int(row['num'])])\n",
    "            prep_rows.append(\"(%s, %s, %s)\")\n",
    "        prepared_str = \",\".join(prep_rows)\n",
    "        sql = f'''insert ignore into deathbed_country_streams (country, as_of, total) values {prepared_str}'''\n",
    "        \n",
    "        print(sql, sql_args)\n",
    "        cur.execute(sql, sql_args)\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 565,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "79"
      ]
     },
     "execution_count": 565,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#top_30 = [c['name'] for c in sorted(top_countries_json, key=lambda x: int(x['num']), reverse=True)][:21]\n",
    "len(top_countries_json['geography'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 566,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "insert ignore into deathbed_country_streams (country, as_of, total) values (%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s),(%s, %s, %s) ['DE', '2020-03-04', 1855383, 'TW', '2020-03-04', 163714, 'PS', '2020-03-04', 1363, 'HK', '2020-03-04', 93353, 'PT', '2020-03-04', 110481, 'HN', '2020-03-04', 20013, 'DK', '2020-03-04', 339256, 'LT', '2020-03-04', 38642, 'PY', '2020-03-04', 32303, 'LU', '2020-03-04', 15530, 'LV', '2020-03-04', 38915, 'DO', '2020-03-04', 18837, 'HU', '2020-03-04', 94453, 'QA', '2020-03-04', 16094, 'MA', '2020-03-04', 25794, 'MC', '2020-03-04', 539, 'DZ', '2020-03-04', 14737, 'ID', '2020-03-04', 1557178, 'IE', '2020-03-04', 337549, 'EC', '2020-03-04', 63997, 'US', '2020-03-04', 12394938, 'EE', '2020-03-04', 34657, 'EG', '2020-03-04', 24637, 'IL', '2020-03-04', 80651, 'AD', '2020-03-04', 2153, 'UY', '2020-03-04', 14401, 'AE', '2020-03-04', 62183, 'IN', '2020-03-04', 541727, 'MT', '2020-03-04', 20345, 'ZA', '2020-03-04', 74704, 'IS', '2020-03-04', 43573, 'MX', '2020-03-04', 1009609, 'IT', '2020-03-04', 558434, 'MY', '2020-03-04', 471780, 'ES', '2020-03-04', 448597, 'AR', '2020-03-04', 248196, 'AT', '2020-03-04', 187020, 'AU', '2020-03-04', 2489745, 'VN', '2020-03-04', 168042, 'NI', '2020-03-04', 6889, 'RO', '2020-03-04', 81927, 'NL', '2020-03-04', 968978, 'NO', '2020-03-04', 704504, 'BE', '2020-03-04', 250860, 'FI', '2020-03-04', 468808, 'BG', '2020-03-04', 20291, 'JO', '2020-03-04', 11656, 'JP', '2020-03-04', 227436, 'BH', '2020-03-04', 6438, 'NZ', '2020-03-04', 496753, 'FR', '2020-03-04', 927508, 'BO', '2020-03-04', 31870, 'SA', '2020-03-04', 67955, 'BR', '2020-03-04', 681767, 'SE', '2020-03-04', 1090674, 'SG', '2020-03-04', 513935, 'SK', '2020-03-04', 46258, 'GB', '2020-03-04', 2774172, 'CA', '2020-03-04', 2106229, 'OM', '2020-03-04', 4838, 'SV', '2020-03-04', 22395, 'CH', '2020-03-04', 234014, 'CL', '2020-03-04', 210477, 'GR', '2020-03-04', 57607, 'KW', '2020-03-04', 17034, 'CO', '2020-03-04', 93902, 'GT', '2020-03-04', 48663, 'CR', '2020-03-04', 50211, 'PA', '2020-03-04', 22356, 'TH', '2020-03-04', 146760, 'PE', '2020-03-04', 144382, 'LB', '2020-03-04', 6962, 'CY', '2020-03-04', 11698, 'CZ', '2020-03-04', 103057, 'PH', '2020-03-04', 2255456, 'TN', '2020-03-04', 11049, 'PL', '2020-03-04', 256999, 'LI', '2020-03-04', 556, 'TR', '2020-03-04', 194756]\n"
     ]
    }
   ],
   "source": [
    "store_top_countries(top_countries_json)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Daily Streams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "def store_daily_streams(timelineJson):\n",
    "    with get_cursor(True) as cur:\n",
    "        prep_rows = []\n",
    "        sql_args = []\n",
    "        for row in timelineJson['timelinePoint']:\n",
    "            sql_args.extend([row['date'], int(row['num'])])\n",
    "            prep_rows.append(\"(%s, %s)\")\n",
    "        prepared_str = \",\".join(prep_rows)\n",
    "        sql = f'''insert ignore into deathbed_daily_streams (as_of, streams) values {prepared_str}'''\n",
    "        \n",
    "        print(sql, sql_args)\n",
    "        cur.execute(sql, sql_args)\n",
    "            \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "url_total_daily = (\n",
    "    'https://generic.wg.spotify.com/s4x-insights-api/v1'\n",
    "    '/artist/6bmlMHgSheBauioMgKv2tn'\n",
    "    '/recording/7eJMfftS33KTjuF7lTsMCx'\n",
    "    '/timeline/streams'\n",
    "    '?aggregation-level=recording'\n",
    "    '&time-filter=28day'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "totals = requests.get(url_total_daily, headers=headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "insert ignore into deathbed_daily_streams (as_of, streams) values (%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s),(%s, %s) ['2020-03-02', 2306110, '2020-03-01', 2166767, '2020-02-29', 2237775, '2020-02-28', 2240960, '2020-02-27', 2111440, '2020-02-26', 2052861, '2020-02-25', 1959335, '2020-02-24', 1844278, '2020-02-23', 1648041, '2020-02-22', 1670351, '2020-02-21', 1713451, '2020-02-20', 1625098, '2020-02-19', 1535673, '2020-02-18', 1451815, '2020-02-17', 1357659, '2020-02-16', 1216908, '2020-02-15', 1199094, '2020-02-14', 1045877, '2020-02-13', 800749, '2020-02-12', 696124, '2020-02-11', 599720, '2020-02-10', 535745, '2020-02-09', 357060, '2020-02-08', 139878, '2020-02-07', 2665, '2020-02-06', 0, '2020-02-05', 0, '2020-02-04', 0]\n"
     ]
    }
   ],
   "source": [
    "store_daily_streams(totals.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1175cd358>"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_totals_df = _sql_to_dataframe(\n",
    "    '''select as_of, streams from deathbed_daily_streams''', \n",
    "    columns=['day', 'streams'], \n",
    "    index_column='day'\n",
    ")\n",
    "daily_totals_df.plot(figsize=(10,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "url_source_breakdown = (\n",
    "    'https://generic.wg.spotify.com/s4x-insights-api/v1'\n",
    "    '/artist/6bmlMHgSheBauioMgKv2tn'\n",
    "    '/recording/7eJMfftS33KTjuF7lTsMCx'\n",
    "    '/source?time-filter=28day'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "totals = requests.get(url_source_breakdown, headers=headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "sourceDf = pd.DataFrame(data=totals.json().items(), columns=['type', 'total'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "sourceDf['total'] = sourceDf.total.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112197d68>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sourceDf.set_index('type').sort_values(by=['total']).total.plot(kind='pie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type     usernetworkcatalogotherpersonalizededitorial\n",
       "total                                        33533103\n",
       "dtype: object"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sourceDf.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [204]>"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### backfill \n",
    "\n",
    "\n",
    "Normally we shouldn't need to do this, but if I miss a day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 567,
   "metadata": {},
   "outputs": [],
   "source": [
    "def request_countries(codes: list):\n",
    "    return requests.get(\n",
    "        ('https://generic.wg.spotify.com/s4x-insights-api/v1'\n",
    "         '/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/timeline/countries'\n",
    "         f'?time-filter=28day&aggregation-level=recording&country-codes={\",\".join(codes)}'),\n",
    "        headers=headers\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 568,
   "metadata": {},
   "outputs": [],
   "source": [
    "def chunks(lst, n):\n",
    "    \"\"\"Yield successive n-sized chunks from lst.\"\"\"\n",
    "    for i in range(0, len(lst), n):\n",
    "        yield lst[i:i + n]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 569,
   "metadata": {},
   "outputs": [],
   "source": [
    "with get_cursor(False) as cur:\n",
    "    cur.execute('''select country, as_of, total from deathbed_country_streams''')\n",
    "    all_country_data = cur.fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 570,
   "metadata": {},
   "outputs": [],
   "source": [
    "uniq_country_codes = list(set([r[0] for r in all_country_data]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 571,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'GR,TH,LI,DE,AR,AD,ZA,DZ,US,PS,CH,MC,ID,AT,OM,PY,GB,VN,SV,MT,NI,SE,KW,MA,EC,HN,IT,BG,DO,DK,NO,CO,RO,IS,EE,HK,BE,IE,BR,PL,TR,NL,PA,MX,SG,IL,CA,SK,LU,LB,QA,JO,PE,SA,PT,CZ,MY,NZ,IN,EG,ES,BO,LV,BH,HU,UY,PH,AU,TN,GT,FR,TW,JP,CY,AE,LT,CL,CR,FI'"
      ]
     },
     "execution_count": 571,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\",\".join(uniq_country_codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 572,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_country_timelines = {}\n",
    "matrix = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_matrix(codes):\n",
    "    r2 = request_countries(codes)\n",
    "    print(codes, r2.reason)\n",
    "    country_timelines = r2.json()['countryTimelines']\n",
    "    for country in country_timelines:\n",
    "        code = country['countryCode']\n",
    "        all_country_timelines[code] = country['timelinePoint']\n",
    "        for ev in country['timelinePoint']:\n",
    "            matrix.append([ev['date'], code, int(ev['num'])])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LI', 'MT', 'CY'] OK\n"
     ]
    }
   ],
   "source": [
    "load_matrix(['LI','MT','CY'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 574,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['GR', 'TH', 'LI'] OK\n",
      "['DE', 'AR', 'AD'] OK\n",
      "['ZA', 'DZ', 'US'] OK\n",
      "['PS', 'CH', 'MC'] OK\n",
      "['ID', 'AT', 'OM'] OK\n",
      "['PY', 'GB', 'VN'] OK\n",
      "['SV', 'MT', 'NI'] OK\n",
      "['SE', 'KW', 'MA'] OK\n",
      "['EC', 'HN', 'IT'] OK\n",
      "['BG', 'DO', 'DK'] OK\n",
      "['NO', 'CO', 'RO'] OK\n",
      "['IS', 'EE', 'HK'] OK\n",
      "['BE', 'IE', 'BR'] OK\n",
      "['PL', 'TR', 'NL'] OK\n",
      "['PA', 'MX', 'SG'] OK\n",
      "['IL', 'CA', 'SK'] OK\n",
      "['LU', 'LB', 'QA'] OK\n",
      "['JO', 'PE', 'SA'] OK\n",
      "['PT', 'CZ', 'MY'] OK\n",
      "['NZ', 'IN', 'EG'] OK\n",
      "['ES', 'BO', 'LV'] OK\n",
      "['BH', 'HU', 'UY'] OK\n",
      "['PH', 'AU', 'TN'] OK\n",
      "['GT', 'FR', 'TW'] OK\n",
      "['JP', 'CY', 'AE'] OK\n",
      "['LT', 'CL', 'CR'] OK\n",
      "['FI'] OK\n"
     ]
    }
   ],
   "source": [
    "rest = list(chunks(uniq_country_codes, 3))\n",
    "for threeCountries in rest:\n",
    "    load_matrix(threeCountries)\n",
    "    import time; time.sleep(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 578,
   "metadata": {},
   "outputs": [],
   "source": [
    "countrydf = pd.DataFrame(data=matrix, columns=['day', 'country', 'streams'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 579,
   "metadata": {},
   "outputs": [],
   "source": [
    "daily_totals = countrydf.pivot(index='day', columns='country', values='streams').cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 580,
   "metadata": {},
   "outputs": [],
   "source": [
    "daily_db = _sql_to_dataframe('select cast(as_of as char), country, total from deathbed_country_streams', columns=['day','country', 'total'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 581,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "joined = pd.merge(\n",
    "  daily_totals.stack().to_frame('cumstreams'),\n",
    "  daily_db.set_index(['day', 'country']),\n",
    "    left_index=True,\n",
    "    right_index=True,\n",
    "    how='left'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 582,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing_data = joined[(joined.cumstreams > 0) & (joined['total'] - joined['total'] != 0)].cumstreams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 583,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79 missing rows.\n",
      "('2020-03-03','AD',2071),\n",
      "('2020-03-03','AE',58200),\n",
      "('2020-03-03','AR',231008),\n",
      "('2020-03-03','AT',176037),\n",
      "('2020-03-03','AU',2340292),\n",
      "('2020-03-03...\n"
     ]
    }
   ],
   "source": [
    "row_tupes = [(k[0], k[1], v) for k,v in missing_data.to_dict().items()]\n",
    "insert_block = \",\\n\".join([ f\"\"\"('{r[0]}','{r[1]}',{r[2]})\"\"\" for r in row_tupes ])\n",
    "print(f\"{len(row_tupes)} missing rows.\\n{insert_block[:150]}...\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 584,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dangerously_do_insert(insert_block):\n",
    "    with get_cursor(True) as cur:\n",
    "        cur.execute(f'''insert ignore into deathbed_country_streams (as_of, country, total) values {insert_block}''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 585,
   "metadata": {},
   "outputs": [],
   "source": [
    "dangerously_do_insert(insert_block)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing data should be updated.\n",
    "\n",
    "\n",
    "# Country Streams:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 586,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = _sql_to_dataframe('''\n",
    "            select country, as_of, total\n",
    "            from deathbed_country_streams\n",
    "        ''', columns=['country', 'as_of', 'total'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 587,
   "metadata": {},
   "outputs": [],
   "source": [
    "pv = df.pivot(index='as_of', columns='country', values='total')\n",
    "pv.index = pd.to_datetime(pv.index)\n",
    "zeroIndex = pv.index.min() - datetime.timedelta(days=1)\n",
    "dailyVals = pv.append(\n",
    "    pd.DataFrame(index=[zeroIndex], columns=pv.columns, data=[[0]*len(pv.columns)])\n",
    ").sort_index().diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 555,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>country</th>\n",
       "      <th>AD</th>\n",
       "      <th>AE</th>\n",
       "      <th>AR</th>\n",
       "      <th>AT</th>\n",
       "      <th>AU</th>\n",
       "      <th>BE</th>\n",
       "      <th>BG</th>\n",
       "      <th>BH</th>\n",
       "      <th>BO</th>\n",
       "      <th>BR</th>\n",
       "      <th>...</th>\n",
       "      <th>SK</th>\n",
       "      <th>SV</th>\n",
       "      <th>TH</th>\n",
       "      <th>TN</th>\n",
       "      <th>TR</th>\n",
       "      <th>TW</th>\n",
       "      <th>US</th>\n",
       "      <th>UY</th>\n",
       "      <th>VN</th>\n",
       "      <th>ZA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>as_of</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1203</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>5</td>\n",
       "      <td>394</td>\n",
       "      <td>219</td>\n",
       "      <td>658</td>\n",
       "      <td>14172</td>\n",
       "      <td>1253</td>\n",
       "      <td>127</td>\n",
       "      <td>14</td>\n",
       "      <td>117</td>\n",
       "      <td>1199</td>\n",
       "      <td>...</td>\n",
       "      <td>140</td>\n",
       "      <td>33</td>\n",
       "      <td>193</td>\n",
       "      <td>91</td>\n",
       "      <td>346</td>\n",
       "      <td>39</td>\n",
       "      <td>44249</td>\n",
       "      <td>15</td>\n",
       "      <td>305</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>9</td>\n",
       "      <td>714</td>\n",
       "      <td>994</td>\n",
       "      <td>2533</td>\n",
       "      <td>44857</td>\n",
       "      <td>4228</td>\n",
       "      <td>315</td>\n",
       "      <td>73</td>\n",
       "      <td>365</td>\n",
       "      <td>3720</td>\n",
       "      <td>...</td>\n",
       "      <td>363</td>\n",
       "      <td>75</td>\n",
       "      <td>911</td>\n",
       "      <td>221</td>\n",
       "      <td>1089</td>\n",
       "      <td>150</td>\n",
       "      <td>169355</td>\n",
       "      <td>65</td>\n",
       "      <td>1387</td>\n",
       "      <td>1506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>10</td>\n",
       "      <td>1248</td>\n",
       "      <td>2678</td>\n",
       "      <td>5614</td>\n",
       "      <td>84460</td>\n",
       "      <td>8199</td>\n",
       "      <td>558</td>\n",
       "      <td>176</td>\n",
       "      <td>815</td>\n",
       "      <td>7413</td>\n",
       "      <td>...</td>\n",
       "      <td>769</td>\n",
       "      <td>273</td>\n",
       "      <td>1776</td>\n",
       "      <td>297</td>\n",
       "      <td>2161</td>\n",
       "      <td>411</td>\n",
       "      <td>377246</td>\n",
       "      <td>151</td>\n",
       "      <td>2601</td>\n",
       "      <td>2357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>35</td>\n",
       "      <td>1750</td>\n",
       "      <td>5076</td>\n",
       "      <td>8434</td>\n",
       "      <td>129253</td>\n",
       "      <td>12358</td>\n",
       "      <td>920</td>\n",
       "      <td>271</td>\n",
       "      <td>1179</td>\n",
       "      <td>11473</td>\n",
       "      <td>...</td>\n",
       "      <td>1183</td>\n",
       "      <td>455</td>\n",
       "      <td>2579</td>\n",
       "      <td>417</td>\n",
       "      <td>3126</td>\n",
       "      <td>647</td>\n",
       "      <td>612182</td>\n",
       "      <td>283</td>\n",
       "      <td>4024</td>\n",
       "      <td>3393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>63</td>\n",
       "      <td>2664</td>\n",
       "      <td>7450</td>\n",
       "      <td>11659</td>\n",
       "      <td>180405</td>\n",
       "      <td>17593</td>\n",
       "      <td>1162</td>\n",
       "      <td>408</td>\n",
       "      <td>1609</td>\n",
       "      <td>17199</td>\n",
       "      <td>...</td>\n",
       "      <td>1882</td>\n",
       "      <td>591</td>\n",
       "      <td>3529</td>\n",
       "      <td>546</td>\n",
       "      <td>4351</td>\n",
       "      <td>1070</td>\n",
       "      <td>883231</td>\n",
       "      <td>438</td>\n",
       "      <td>6224</td>\n",
       "      <td>4457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>124</td>\n",
       "      <td>3918</td>\n",
       "      <td>10770</td>\n",
       "      <td>15493</td>\n",
       "      <td>238963</td>\n",
       "      <td>22621</td>\n",
       "      <td>1436</td>\n",
       "      <td>567</td>\n",
       "      <td>2165</td>\n",
       "      <td>24624</td>\n",
       "      <td>...</td>\n",
       "      <td>2750</td>\n",
       "      <td>901</td>\n",
       "      <td>4627</td>\n",
       "      <td>692</td>\n",
       "      <td>6124</td>\n",
       "      <td>2147</td>\n",
       "      <td>1201788</td>\n",
       "      <td>571</td>\n",
       "      <td>8379</td>\n",
       "      <td>6158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>191</td>\n",
       "      <td>5362</td>\n",
       "      <td>15199</td>\n",
       "      <td>19996</td>\n",
       "      <td>301366</td>\n",
       "      <td>28438</td>\n",
       "      <td>1858</td>\n",
       "      <td>717</td>\n",
       "      <td>2663</td>\n",
       "      <td>38395</td>\n",
       "      <td>...</td>\n",
       "      <td>3585</td>\n",
       "      <td>1278</td>\n",
       "      <td>6944</td>\n",
       "      <td>961</td>\n",
       "      <td>8838</td>\n",
       "      <td>5525</td>\n",
       "      <td>1642427</td>\n",
       "      <td>823</td>\n",
       "      <td>10974</td>\n",
       "      <td>8326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>288</td>\n",
       "      <td>7585</td>\n",
       "      <td>20286</td>\n",
       "      <td>25603</td>\n",
       "      <td>375644</td>\n",
       "      <td>37297</td>\n",
       "      <td>2557</td>\n",
       "      <td>875</td>\n",
       "      <td>3806</td>\n",
       "      <td>57219</td>\n",
       "      <td>...</td>\n",
       "      <td>5051</td>\n",
       "      <td>1744</td>\n",
       "      <td>11314</td>\n",
       "      <td>1269</td>\n",
       "      <td>13207</td>\n",
       "      <td>10802</td>\n",
       "      <td>2096029</td>\n",
       "      <td>1126</td>\n",
       "      <td>14075</td>\n",
       "      <td>10800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-16</th>\n",
       "      <td>392</td>\n",
       "      <td>9377</td>\n",
       "      <td>26094</td>\n",
       "      <td>31833</td>\n",
       "      <td>459423</td>\n",
       "      <td>46106</td>\n",
       "      <td>3254</td>\n",
       "      <td>1057</td>\n",
       "      <td>4865</td>\n",
       "      <td>74567</td>\n",
       "      <td>...</td>\n",
       "      <td>6614</td>\n",
       "      <td>2246</td>\n",
       "      <td>16423</td>\n",
       "      <td>1821</td>\n",
       "      <td>18037</td>\n",
       "      <td>14969</td>\n",
       "      <td>2534542</td>\n",
       "      <td>1470</td>\n",
       "      <td>17802</td>\n",
       "      <td>13514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>500</td>\n",
       "      <td>11371</td>\n",
       "      <td>34981</td>\n",
       "      <td>38816</td>\n",
       "      <td>543616</td>\n",
       "      <td>54527</td>\n",
       "      <td>4067</td>\n",
       "      <td>1217</td>\n",
       "      <td>5744</td>\n",
       "      <td>96616</td>\n",
       "      <td>...</td>\n",
       "      <td>8306</td>\n",
       "      <td>2923</td>\n",
       "      <td>22208</td>\n",
       "      <td>2188</td>\n",
       "      <td>23018</td>\n",
       "      <td>20554</td>\n",
       "      <td>3031340</td>\n",
       "      <td>1886</td>\n",
       "      <td>23157</td>\n",
       "      <td>15952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>602</td>\n",
       "      <td>13529</td>\n",
       "      <td>44151</td>\n",
       "      <td>46178</td>\n",
       "      <td>628089</td>\n",
       "      <td>63690</td>\n",
       "      <td>4819</td>\n",
       "      <td>1387</td>\n",
       "      <td>6676</td>\n",
       "      <td>120433</td>\n",
       "      <td>...</td>\n",
       "      <td>10164</td>\n",
       "      <td>3719</td>\n",
       "      <td>28617</td>\n",
       "      <td>2552</td>\n",
       "      <td>29602</td>\n",
       "      <td>29262</td>\n",
       "      <td>3552596</td>\n",
       "      <td>2310</td>\n",
       "      <td>28905</td>\n",
       "      <td>18627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>708</td>\n",
       "      <td>15899</td>\n",
       "      <td>54635</td>\n",
       "      <td>53437</td>\n",
       "      <td>715993</td>\n",
       "      <td>74530</td>\n",
       "      <td>5772</td>\n",
       "      <td>1563</td>\n",
       "      <td>7677</td>\n",
       "      <td>146010</td>\n",
       "      <td>...</td>\n",
       "      <td>12073</td>\n",
       "      <td>4501</td>\n",
       "      <td>35218</td>\n",
       "      <td>2928</td>\n",
       "      <td>38483</td>\n",
       "      <td>40590</td>\n",
       "      <td>4088487</td>\n",
       "      <td>2896</td>\n",
       "      <td>34740</td>\n",
       "      <td>21629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>855</td>\n",
       "      <td>19231</td>\n",
       "      <td>64539</td>\n",
       "      <td>61299</td>\n",
       "      <td>811040</td>\n",
       "      <td>84064</td>\n",
       "      <td>6717</td>\n",
       "      <td>1784</td>\n",
       "      <td>8655</td>\n",
       "      <td>173656</td>\n",
       "      <td>...</td>\n",
       "      <td>14201</td>\n",
       "      <td>5252</td>\n",
       "      <td>42040</td>\n",
       "      <td>3284</td>\n",
       "      <td>46179</td>\n",
       "      <td>51333</td>\n",
       "      <td>4647643</td>\n",
       "      <td>3458</td>\n",
       "      <td>40997</td>\n",
       "      <td>24567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>949</td>\n",
       "      <td>22223</td>\n",
       "      <td>75567</td>\n",
       "      <td>69575</td>\n",
       "      <td>918966</td>\n",
       "      <td>94291</td>\n",
       "      <td>7736</td>\n",
       "      <td>2114</td>\n",
       "      <td>9806</td>\n",
       "      <td>202364</td>\n",
       "      <td>...</td>\n",
       "      <td>16387</td>\n",
       "      <td>5996</td>\n",
       "      <td>48642</td>\n",
       "      <td>3857</td>\n",
       "      <td>53894</td>\n",
       "      <td>61660</td>\n",
       "      <td>5211469</td>\n",
       "      <td>4119</td>\n",
       "      <td>48762</td>\n",
       "      <td>28253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>1028</td>\n",
       "      <td>25046</td>\n",
       "      <td>85787</td>\n",
       "      <td>77891</td>\n",
       "      <td>1029227</td>\n",
       "      <td>104591</td>\n",
       "      <td>8715</td>\n",
       "      <td>2338</td>\n",
       "      <td>11097</td>\n",
       "      <td>226930</td>\n",
       "      <td>...</td>\n",
       "      <td>18815</td>\n",
       "      <td>6769</td>\n",
       "      <td>54999</td>\n",
       "      <td>4283</td>\n",
       "      <td>61692</td>\n",
       "      <td>70815</td>\n",
       "      <td>5743335</td>\n",
       "      <td>4776</td>\n",
       "      <td>56333</td>\n",
       "      <td>31827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>1101</td>\n",
       "      <td>27942</td>\n",
       "      <td>94722</td>\n",
       "      <td>85359</td>\n",
       "      <td>1147511</td>\n",
       "      <td>114117</td>\n",
       "      <td>9622</td>\n",
       "      <td>2524</td>\n",
       "      <td>12112</td>\n",
       "      <td>247801</td>\n",
       "      <td>...</td>\n",
       "      <td>20965</td>\n",
       "      <td>7867</td>\n",
       "      <td>61585</td>\n",
       "      <td>4763</td>\n",
       "      <td>69491</td>\n",
       "      <td>79614</td>\n",
       "      <td>6259857</td>\n",
       "      <td>5507</td>\n",
       "      <td>64364</td>\n",
       "      <td>35044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>1189</td>\n",
       "      <td>30603</td>\n",
       "      <td>106350</td>\n",
       "      <td>93970</td>\n",
       "      <td>1269659</td>\n",
       "      <td>124767</td>\n",
       "      <td>10570</td>\n",
       "      <td>2797</td>\n",
       "      <td>13121</td>\n",
       "      <td>273549</td>\n",
       "      <td>...</td>\n",
       "      <td>23477</td>\n",
       "      <td>8805</td>\n",
       "      <td>68316</td>\n",
       "      <td>5286</td>\n",
       "      <td>78744</td>\n",
       "      <td>90053</td>\n",
       "      <td>6839240</td>\n",
       "      <td>6193</td>\n",
       "      <td>73368</td>\n",
       "      <td>38231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>1273</td>\n",
       "      <td>33645</td>\n",
       "      <td>119118</td>\n",
       "      <td>103062</td>\n",
       "      <td>1395312</td>\n",
       "      <td>136941</td>\n",
       "      <td>11570</td>\n",
       "      <td>3097</td>\n",
       "      <td>14708</td>\n",
       "      <td>303621</td>\n",
       "      <td>...</td>\n",
       "      <td>25858</td>\n",
       "      <td>9914</td>\n",
       "      <td>76406</td>\n",
       "      <td>5871</td>\n",
       "      <td>89188</td>\n",
       "      <td>99427</td>\n",
       "      <td>7430267</td>\n",
       "      <td>6982</td>\n",
       "      <td>83929</td>\n",
       "      <td>42042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>1386</td>\n",
       "      <td>36828</td>\n",
       "      <td>133736</td>\n",
       "      <td>113095</td>\n",
       "      <td>1521870</td>\n",
       "      <td>148808</td>\n",
       "      <td>12550</td>\n",
       "      <td>3586</td>\n",
       "      <td>16553</td>\n",
       "      <td>340180</td>\n",
       "      <td>...</td>\n",
       "      <td>28231</td>\n",
       "      <td>11185</td>\n",
       "      <td>84233</td>\n",
       "      <td>6459</td>\n",
       "      <td>99931</td>\n",
       "      <td>107608</td>\n",
       "      <td>8044216</td>\n",
       "      <td>7920</td>\n",
       "      <td>94519</td>\n",
       "      <td>45930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>1517</td>\n",
       "      <td>40600</td>\n",
       "      <td>149420</td>\n",
       "      <td>123246</td>\n",
       "      <td>1650884</td>\n",
       "      <td>161367</td>\n",
       "      <td>13621</td>\n",
       "      <td>3953</td>\n",
       "      <td>18400</td>\n",
       "      <td>382848</td>\n",
       "      <td>...</td>\n",
       "      <td>30715</td>\n",
       "      <td>12339</td>\n",
       "      <td>92091</td>\n",
       "      <td>7033</td>\n",
       "      <td>110408</td>\n",
       "      <td>115451</td>\n",
       "      <td>8649518</td>\n",
       "      <td>8839</td>\n",
       "      <td>105328</td>\n",
       "      <td>49607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>1645</td>\n",
       "      <td>44301</td>\n",
       "      <td>166110</td>\n",
       "      <td>134275</td>\n",
       "      <td>1782239</td>\n",
       "      <td>175346</td>\n",
       "      <td>14784</td>\n",
       "      <td>4286</td>\n",
       "      <td>20533</td>\n",
       "      <td>430301</td>\n",
       "      <td>...</td>\n",
       "      <td>33307</td>\n",
       "      <td>13628</td>\n",
       "      <td>101104</td>\n",
       "      <td>7616</td>\n",
       "      <td>121513</td>\n",
       "      <td>123108</td>\n",
       "      <td>9281452</td>\n",
       "      <td>9788</td>\n",
       "      <td>115917</td>\n",
       "      <td>53885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-29</th>\n",
       "      <td>1780</td>\n",
       "      <td>47634</td>\n",
       "      <td>181621</td>\n",
       "      <td>144666</td>\n",
       "      <td>1913822</td>\n",
       "      <td>189867</td>\n",
       "      <td>15810</td>\n",
       "      <td>4703</td>\n",
       "      <td>22867</td>\n",
       "      <td>476502</td>\n",
       "      <td>...</td>\n",
       "      <td>35705</td>\n",
       "      <td>15222</td>\n",
       "      <td>110001</td>\n",
       "      <td>8245</td>\n",
       "      <td>132522</td>\n",
       "      <td>131034</td>\n",
       "      <td>9893287</td>\n",
       "      <td>10742</td>\n",
       "      <td>125997</td>\n",
       "      <td>58649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>1882</td>\n",
       "      <td>50970</td>\n",
       "      <td>196386</td>\n",
       "      <td>154303</td>\n",
       "      <td>2051678</td>\n",
       "      <td>204517</td>\n",
       "      <td>16655</td>\n",
       "      <td>5104</td>\n",
       "      <td>24924</td>\n",
       "      <td>517319</td>\n",
       "      <td>...</td>\n",
       "      <td>38218</td>\n",
       "      <td>16980</td>\n",
       "      <td>118786</td>\n",
       "      <td>8908</td>\n",
       "      <td>146192</td>\n",
       "      <td>138757</td>\n",
       "      <td>10473989</td>\n",
       "      <td>11502</td>\n",
       "      <td>136199</td>\n",
       "      <td>62813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02</th>\n",
       "      <td>1971</td>\n",
       "      <td>54414</td>\n",
       "      <td>213689</td>\n",
       "      <td>165113</td>\n",
       "      <td>2190828</td>\n",
       "      <td>219423</td>\n",
       "      <td>17885</td>\n",
       "      <td>5535</td>\n",
       "      <td>27194</td>\n",
       "      <td>570734</td>\n",
       "      <td>...</td>\n",
       "      <td>40856</td>\n",
       "      <td>18587</td>\n",
       "      <td>127804</td>\n",
       "      <td>9549</td>\n",
       "      <td>160683</td>\n",
       "      <td>146316</td>\n",
       "      <td>11101003</td>\n",
       "      <td>12416</td>\n",
       "      <td>146697</td>\n",
       "      <td>66805</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country       AD     AE      AR      AT       AU      BE     BG    BH     BO  \\\n",
       "as_of                                                                          \n",
       "2020-02-07     0      4       0       9     1203      17     13     1      0   \n",
       "2020-02-08     5    394     219     658    14172    1253    127    14    117   \n",
       "2020-02-09     9    714     994    2533    44857    4228    315    73    365   \n",
       "2020-02-10    10   1248    2678    5614    84460    8199    558   176    815   \n",
       "2020-02-11    35   1750    5076    8434   129253   12358    920   271   1179   \n",
       "2020-02-12    63   2664    7450   11659   180405   17593   1162   408   1609   \n",
       "2020-02-13   124   3918   10770   15493   238963   22621   1436   567   2165   \n",
       "2020-02-14   191   5362   15199   19996   301366   28438   1858   717   2663   \n",
       "2020-02-15   288   7585   20286   25603   375644   37297   2557   875   3806   \n",
       "2020-02-16   392   9377   26094   31833   459423   46106   3254  1057   4865   \n",
       "2020-02-17   500  11371   34981   38816   543616   54527   4067  1217   5744   \n",
       "2020-02-18   602  13529   44151   46178   628089   63690   4819  1387   6676   \n",
       "2020-02-19   708  15899   54635   53437   715993   74530   5772  1563   7677   \n",
       "2020-02-20   855  19231   64539   61299   811040   84064   6717  1784   8655   \n",
       "2020-02-21   949  22223   75567   69575   918966   94291   7736  2114   9806   \n",
       "2020-02-22  1028  25046   85787   77891  1029227  104591   8715  2338  11097   \n",
       "2020-02-23  1101  27942   94722   85359  1147511  114117   9622  2524  12112   \n",
       "2020-02-24  1189  30603  106350   93970  1269659  124767  10570  2797  13121   \n",
       "2020-02-25  1273  33645  119118  103062  1395312  136941  11570  3097  14708   \n",
       "2020-02-26  1386  36828  133736  113095  1521870  148808  12550  3586  16553   \n",
       "2020-02-27  1517  40600  149420  123246  1650884  161367  13621  3953  18400   \n",
       "2020-02-28  1645  44301  166110  134275  1782239  175346  14784  4286  20533   \n",
       "2020-02-29  1780  47634  181621  144666  1913822  189867  15810  4703  22867   \n",
       "2020-03-01  1882  50970  196386  154303  2051678  204517  16655  5104  24924   \n",
       "2020-03-02  1971  54414  213689  165113  2190828  219423  17885  5535  27194   \n",
       "\n",
       "country         BR  ...     SK     SV      TH    TN      TR      TW        US  \\\n",
       "as_of               ...                                                         \n",
       "2020-02-07       0  ...     13      0       0     0       6       3        38   \n",
       "2020-02-08    1199  ...    140     33     193    91     346      39     44249   \n",
       "2020-02-09    3720  ...    363     75     911   221    1089     150    169355   \n",
       "2020-02-10    7413  ...    769    273    1776   297    2161     411    377246   \n",
       "2020-02-11   11473  ...   1183    455    2579   417    3126     647    612182   \n",
       "2020-02-12   17199  ...   1882    591    3529   546    4351    1070    883231   \n",
       "2020-02-13   24624  ...   2750    901    4627   692    6124    2147   1201788   \n",
       "2020-02-14   38395  ...   3585   1278    6944   961    8838    5525   1642427   \n",
       "2020-02-15   57219  ...   5051   1744   11314  1269   13207   10802   2096029   \n",
       "2020-02-16   74567  ...   6614   2246   16423  1821   18037   14969   2534542   \n",
       "2020-02-17   96616  ...   8306   2923   22208  2188   23018   20554   3031340   \n",
       "2020-02-18  120433  ...  10164   3719   28617  2552   29602   29262   3552596   \n",
       "2020-02-19  146010  ...  12073   4501   35218  2928   38483   40590   4088487   \n",
       "2020-02-20  173656  ...  14201   5252   42040  3284   46179   51333   4647643   \n",
       "2020-02-21  202364  ...  16387   5996   48642  3857   53894   61660   5211469   \n",
       "2020-02-22  226930  ...  18815   6769   54999  4283   61692   70815   5743335   \n",
       "2020-02-23  247801  ...  20965   7867   61585  4763   69491   79614   6259857   \n",
       "2020-02-24  273549  ...  23477   8805   68316  5286   78744   90053   6839240   \n",
       "2020-02-25  303621  ...  25858   9914   76406  5871   89188   99427   7430267   \n",
       "2020-02-26  340180  ...  28231  11185   84233  6459   99931  107608   8044216   \n",
       "2020-02-27  382848  ...  30715  12339   92091  7033  110408  115451   8649518   \n",
       "2020-02-28  430301  ...  33307  13628  101104  7616  121513  123108   9281452   \n",
       "2020-02-29  476502  ...  35705  15222  110001  8245  132522  131034   9893287   \n",
       "2020-03-01  517319  ...  38218  16980  118786  8908  146192  138757  10473989   \n",
       "2020-03-02  570734  ...  40856  18587  127804  9549  160683  146316  11101003   \n",
       "\n",
       "country        UY      VN     ZA  \n",
       "as_of                             \n",
       "2020-02-07      0      13      0  \n",
       "2020-02-08     15     305    492  \n",
       "2020-02-09     65    1387   1506  \n",
       "2020-02-10    151    2601   2357  \n",
       "2020-02-11    283    4024   3393  \n",
       "2020-02-12    438    6224   4457  \n",
       "2020-02-13    571    8379   6158  \n",
       "2020-02-14    823   10974   8326  \n",
       "2020-02-15   1126   14075  10800  \n",
       "2020-02-16   1470   17802  13514  \n",
       "2020-02-17   1886   23157  15952  \n",
       "2020-02-18   2310   28905  18627  \n",
       "2020-02-19   2896   34740  21629  \n",
       "2020-02-20   3458   40997  24567  \n",
       "2020-02-21   4119   48762  28253  \n",
       "2020-02-22   4776   56333  31827  \n",
       "2020-02-23   5507   64364  35044  \n",
       "2020-02-24   6193   73368  38231  \n",
       "2020-02-25   6982   83929  42042  \n",
       "2020-02-26   7920   94519  45930  \n",
       "2020-02-27   8839  105328  49607  \n",
       "2020-02-28   9788  115917  53885  \n",
       "2020-02-29  10742  125997  58649  \n",
       "2020-03-01  11502  136199  62813  \n",
       "2020-03-02  12416  146697  66805  \n",
       "\n",
       "[25 rows x 79 columns]"
      ]
     },
     "execution_count": 555,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 588,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib.dates import MO, TU, WE, TH, FR, SA, SU\n",
    "\n",
    "def redgreens(df):\n",
    "    nrows = 8\n",
    "    countryTotals = df.sum(axis=0)\n",
    "    sortedColumns = sorted(df.columns, key=lambda col: countryTotals.loc[col], reverse=True)\n",
    "    fig, axes = plt.subplots(nrows=nrows, ncols=1, sharex=True, sharey=True, figsize=(10,13))\n",
    "    pct50 = df[sortedColumns[:30]].pct_change()\n",
    "    for i in range(1, nrows+1):\n",
    "        ax = axes[i-1]\n",
    "        pct50.iloc[-i].plot(\n",
    "            kind='bar', \n",
    "            legend=False, \n",
    "            ax=ax, \n",
    "            title=str(pct50.iloc[-i].name.date()),\n",
    "            color=pct50.iloc[-i].map(lambda x:  tuple([min(1, -1*min(x, 0)*5), min(1, max(x, 0)*5), 0.2])),\n",
    "            width=0.95\n",
    "        )\n",
    "    #     ax.xaxis.set_major_locator(\n",
    "    #         mdates.MonthLocator()\n",
    "    #     )\n",
    "    #     ax.xaxis.set_minor_locator(\n",
    "    #         mdates.DayLocator(interval=4)\n",
    "    #     )\n",
    "    plt.tight_layout()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 589,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x936 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "redgreens(dailyVals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "pct1 = dailyVals[sortedColumns[:20]].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "r100 = requests.get(\n",
    "    ('https://gist.githubusercontent.com/ssskip/5a94bfcd2835bf1dea52/raw/'\n",
    "     'aeed5b0cb3a7eda19e614915c3d88ce113e4a914/ISO3166-1.alpha2.json')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "countrymapping = r100.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_meta(df):\n",
    "    countryTotals = df.sum(axis=0)\n",
    "    sortedColumns = sorted(df.columns, key=lambda col: countryTotals.loc[col], reverse=True)\n",
    "    topN = df[sortedColumns[:20]]\n",
    "    \n",
    "    dailyMeta = topN.idxmax().to_frame('Best Day')\n",
    "    dailyMeta['Best Streams'] = topN.max()\n",
    "    dailyMeta['Yesterday'] = topN.iloc[-1]\n",
    "    dailyMeta['D2'] = topN.iloc[-2]\n",
    "    dailyMeta['D8'] = topN.iloc[-8]\n",
    "    dailyMeta['% Yesterday'] = topN.pct_change().iloc[-1]\n",
    "    dailyMeta['% 7 Day'] = topN.pct_change(7).iloc[-1]\n",
    "    dailyMeta['Country Name'] = topN.index.map(countrymapping.get)\n",
    "    return dailyMeta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = dailyVals\n",
    "countryTotals = df.sum(axis=0)\n",
    "sortedColumns = sorted(df.columns, key=lambda col: countryTotals.loc[col], reverse=True)\n",
    "topN = df[sortedColumns[:20]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "topN['Other'] = (tdf.sort_index().streams - topN.sum(axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>country</th>\n",
       "      <th>US</th>\n",
       "      <th>GB</th>\n",
       "      <th>AU</th>\n",
       "      <th>PH</th>\n",
       "      <th>CA</th>\n",
       "      <th>DE</th>\n",
       "      <th>ID</th>\n",
       "      <th>SE</th>\n",
       "      <th>NL</th>\n",
       "      <th>MX</th>\n",
       "      <th>...</th>\n",
       "      <th>NO</th>\n",
       "      <th>BR</th>\n",
       "      <th>IT</th>\n",
       "      <th>IN</th>\n",
       "      <th>SG</th>\n",
       "      <th>NZ</th>\n",
       "      <th>FI</th>\n",
       "      <th>MY</th>\n",
       "      <th>ES</th>\n",
       "      <th>Other</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>38.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>227.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>44211.0</td>\n",
       "      <td>14118.0</td>\n",
       "      <td>12969.0</td>\n",
       "      <td>5748.0</td>\n",
       "      <td>7941.0</td>\n",
       "      <td>5782.0</td>\n",
       "      <td>2830.0</td>\n",
       "      <td>4490.0</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>1222.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2502.0</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>1474.0</td>\n",
       "      <td>1327.0</td>\n",
       "      <td>3282.0</td>\n",
       "      <td>2868.0</td>\n",
       "      <td>2677.0</td>\n",
       "      <td>1681.0</td>\n",
       "      <td>1125.0</td>\n",
       "      <td>15093.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>125106.0</td>\n",
       "      <td>35448.0</td>\n",
       "      <td>30685.0</td>\n",
       "      <td>10825.0</td>\n",
       "      <td>22204.0</td>\n",
       "      <td>16862.0</td>\n",
       "      <td>5531.0</td>\n",
       "      <td>12948.0</td>\n",
       "      <td>12673.0</td>\n",
       "      <td>3781.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8791.0</td>\n",
       "      <td>2521.0</td>\n",
       "      <td>3441.0</td>\n",
       "      <td>1886.0</td>\n",
       "      <td>6924.0</td>\n",
       "      <td>5312.0</td>\n",
       "      <td>5101.0</td>\n",
       "      <td>3008.0</td>\n",
       "      <td>2301.0</td>\n",
       "      <td>36807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>207891.0</td>\n",
       "      <td>46802.0</td>\n",
       "      <td>39603.0</td>\n",
       "      <td>13232.0</td>\n",
       "      <td>35656.0</td>\n",
       "      <td>26987.0</td>\n",
       "      <td>7249.0</td>\n",
       "      <td>21303.0</td>\n",
       "      <td>19870.0</td>\n",
       "      <td>5788.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14414.0</td>\n",
       "      <td>3693.0</td>\n",
       "      <td>4492.0</td>\n",
       "      <td>3218.0</td>\n",
       "      <td>7756.0</td>\n",
       "      <td>7843.0</td>\n",
       "      <td>6922.0</td>\n",
       "      <td>3942.0</td>\n",
       "      <td>3552.0</td>\n",
       "      <td>48076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>234936.0</td>\n",
       "      <td>51090.0</td>\n",
       "      <td>44793.0</td>\n",
       "      <td>15595.0</td>\n",
       "      <td>40150.0</td>\n",
       "      <td>26294.0</td>\n",
       "      <td>8745.0</td>\n",
       "      <td>22464.0</td>\n",
       "      <td>24595.0</td>\n",
       "      <td>7118.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14113.0</td>\n",
       "      <td>4060.0</td>\n",
       "      <td>5481.0</td>\n",
       "      <td>3791.0</td>\n",
       "      <td>7838.0</td>\n",
       "      <td>8653.0</td>\n",
       "      <td>7941.0</td>\n",
       "      <td>4203.0</td>\n",
       "      <td>4045.0</td>\n",
       "      <td>55376.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>271049.0</td>\n",
       "      <td>57904.0</td>\n",
       "      <td>51152.0</td>\n",
       "      <td>19766.0</td>\n",
       "      <td>43242.0</td>\n",
       "      <td>32168.0</td>\n",
       "      <td>10498.0</td>\n",
       "      <td>25434.0</td>\n",
       "      <td>28100.0</td>\n",
       "      <td>8030.0</td>\n",
       "      <td>...</td>\n",
       "      <td>16011.0</td>\n",
       "      <td>5726.0</td>\n",
       "      <td>6545.0</td>\n",
       "      <td>5442.0</td>\n",
       "      <td>8067.0</td>\n",
       "      <td>11208.0</td>\n",
       "      <td>8359.0</td>\n",
       "      <td>4237.0</td>\n",
       "      <td>5037.0</td>\n",
       "      <td>68462.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>318557.0</td>\n",
       "      <td>62787.0</td>\n",
       "      <td>58558.0</td>\n",
       "      <td>22142.0</td>\n",
       "      <td>44444.0</td>\n",
       "      <td>35665.0</td>\n",
       "      <td>14033.0</td>\n",
       "      <td>29887.0</td>\n",
       "      <td>30117.0</td>\n",
       "      <td>9721.0</td>\n",
       "      <td>...</td>\n",
       "      <td>19333.0</td>\n",
       "      <td>7425.0</td>\n",
       "      <td>8180.0</td>\n",
       "      <td>7741.0</td>\n",
       "      <td>9060.0</td>\n",
       "      <td>13198.0</td>\n",
       "      <td>8760.0</td>\n",
       "      <td>5244.0</td>\n",
       "      <td>5862.0</td>\n",
       "      <td>80671.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>440639.0</td>\n",
       "      <td>80636.0</td>\n",
       "      <td>62403.0</td>\n",
       "      <td>25065.0</td>\n",
       "      <td>61161.0</td>\n",
       "      <td>44579.0</td>\n",
       "      <td>28729.0</td>\n",
       "      <td>32631.0</td>\n",
       "      <td>31191.0</td>\n",
       "      <td>15156.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20761.0</td>\n",
       "      <td>13771.0</td>\n",
       "      <td>11625.0</td>\n",
       "      <td>10612.0</td>\n",
       "      <td>9016.0</td>\n",
       "      <td>13877.0</td>\n",
       "      <td>9590.0</td>\n",
       "      <td>6306.0</td>\n",
       "      <td>7250.0</td>\n",
       "      <td>106720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>453602.0</td>\n",
       "      <td>89156.0</td>\n",
       "      <td>74278.0</td>\n",
       "      <td>36728.0</td>\n",
       "      <td>70057.0</td>\n",
       "      <td>55658.0</td>\n",
       "      <td>37895.0</td>\n",
       "      <td>32988.0</td>\n",
       "      <td>31893.0</td>\n",
       "      <td>20817.0</td>\n",
       "      <td>...</td>\n",
       "      <td>21683.0</td>\n",
       "      <td>18824.0</td>\n",
       "      <td>15983.0</td>\n",
       "      <td>16021.0</td>\n",
       "      <td>12600.0</td>\n",
       "      <td>14479.0</td>\n",
       "      <td>11084.0</td>\n",
       "      <td>10047.0</td>\n",
       "      <td>10849.0</td>\n",
       "      <td>146133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-16</th>\n",
       "      <td>438513.0</td>\n",
       "      <td>91111.0</td>\n",
       "      <td>83779.0</td>\n",
       "      <td>41187.0</td>\n",
       "      <td>69301.0</td>\n",
       "      <td>55308.0</td>\n",
       "      <td>41233.0</td>\n",
       "      <td>32373.0</td>\n",
       "      <td>32296.0</td>\n",
       "      <td>25011.0</td>\n",
       "      <td>...</td>\n",
       "      <td>21818.0</td>\n",
       "      <td>17348.0</td>\n",
       "      <td>15007.0</td>\n",
       "      <td>17753.0</td>\n",
       "      <td>13805.0</td>\n",
       "      <td>16637.0</td>\n",
       "      <td>11150.0</td>\n",
       "      <td>10681.0</td>\n",
       "      <td>12662.0</td>\n",
       "      <td>151126.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>496798.0</td>\n",
       "      <td>103697.0</td>\n",
       "      <td>84193.0</td>\n",
       "      <td>42423.0</td>\n",
       "      <td>75411.0</td>\n",
       "      <td>61596.0</td>\n",
       "      <td>42488.0</td>\n",
       "      <td>34809.0</td>\n",
       "      <td>38786.0</td>\n",
       "      <td>30028.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23684.0</td>\n",
       "      <td>22049.0</td>\n",
       "      <td>16918.0</td>\n",
       "      <td>19569.0</td>\n",
       "      <td>15021.0</td>\n",
       "      <td>16648.0</td>\n",
       "      <td>11127.0</td>\n",
       "      <td>11947.0</td>\n",
       "      <td>14579.0</td>\n",
       "      <td>176186.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>521256.0</td>\n",
       "      <td>114258.0</td>\n",
       "      <td>84473.0</td>\n",
       "      <td>52101.0</td>\n",
       "      <td>82695.0</td>\n",
       "      <td>62573.0</td>\n",
       "      <td>42409.0</td>\n",
       "      <td>34865.0</td>\n",
       "      <td>41284.0</td>\n",
       "      <td>32794.0</td>\n",
       "      <td>...</td>\n",
       "      <td>24912.0</td>\n",
       "      <td>23817.0</td>\n",
       "      <td>19157.0</td>\n",
       "      <td>22053.0</td>\n",
       "      <td>16266.0</td>\n",
       "      <td>18704.0</td>\n",
       "      <td>11593.0</td>\n",
       "      <td>13602.0</td>\n",
       "      <td>16780.0</td>\n",
       "      <td>190771.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>535891.0</td>\n",
       "      <td>115285.0</td>\n",
       "      <td>87904.0</td>\n",
       "      <td>81654.0</td>\n",
       "      <td>85159.0</td>\n",
       "      <td>65284.0</td>\n",
       "      <td>44738.0</td>\n",
       "      <td>35331.0</td>\n",
       "      <td>41271.0</td>\n",
       "      <td>33647.0</td>\n",
       "      <td>...</td>\n",
       "      <td>24544.0</td>\n",
       "      <td>25577.0</td>\n",
       "      <td>20512.0</td>\n",
       "      <td>22551.0</td>\n",
       "      <td>18870.0</td>\n",
       "      <td>20389.0</td>\n",
       "      <td>11833.0</td>\n",
       "      <td>15602.0</td>\n",
       "      <td>16855.0</td>\n",
       "      <td>202622.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>559156.0</td>\n",
       "      <td>116400.0</td>\n",
       "      <td>95047.0</td>\n",
       "      <td>108004.0</td>\n",
       "      <td>88039.0</td>\n",
       "      <td>66326.0</td>\n",
       "      <td>47747.0</td>\n",
       "      <td>35111.0</td>\n",
       "      <td>41561.0</td>\n",
       "      <td>35641.0</td>\n",
       "      <td>...</td>\n",
       "      <td>24713.0</td>\n",
       "      <td>27646.0</td>\n",
       "      <td>20678.0</td>\n",
       "      <td>23160.0</td>\n",
       "      <td>22774.0</td>\n",
       "      <td>21095.0</td>\n",
       "      <td>13251.0</td>\n",
       "      <td>19702.0</td>\n",
       "      <td>17933.0</td>\n",
       "      <td>211296.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>563826.0</td>\n",
       "      <td>118127.0</td>\n",
       "      <td>107926.0</td>\n",
       "      <td>116214.0</td>\n",
       "      <td>89498.0</td>\n",
       "      <td>75228.0</td>\n",
       "      <td>49396.0</td>\n",
       "      <td>44304.0</td>\n",
       "      <td>40544.0</td>\n",
       "      <td>38730.0</td>\n",
       "      <td>...</td>\n",
       "      <td>30164.0</td>\n",
       "      <td>28708.0</td>\n",
       "      <td>23465.0</td>\n",
       "      <td>22968.0</td>\n",
       "      <td>23500.0</td>\n",
       "      <td>21263.0</td>\n",
       "      <td>22239.0</td>\n",
       "      <td>21315.0</td>\n",
       "      <td>19280.0</td>\n",
       "      <td>222991.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>531866.0</td>\n",
       "      <td>117306.0</td>\n",
       "      <td>110261.0</td>\n",
       "      <td>121002.0</td>\n",
       "      <td>88208.0</td>\n",
       "      <td>72586.0</td>\n",
       "      <td>52851.0</td>\n",
       "      <td>42558.0</td>\n",
       "      <td>34894.0</td>\n",
       "      <td>39276.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27355.0</td>\n",
       "      <td>24566.0</td>\n",
       "      <td>22482.0</td>\n",
       "      <td>23537.0</td>\n",
       "      <td>24642.0</td>\n",
       "      <td>20515.0</td>\n",
       "      <td>23574.0</td>\n",
       "      <td>22030.0</td>\n",
       "      <td>19068.0</td>\n",
       "      <td>217360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>516522.0</td>\n",
       "      <td>114910.0</td>\n",
       "      <td>118284.0</td>\n",
       "      <td>127295.0</td>\n",
       "      <td>89065.0</td>\n",
       "      <td>66481.0</td>\n",
       "      <td>56291.0</td>\n",
       "      <td>42490.0</td>\n",
       "      <td>33118.0</td>\n",
       "      <td>36785.0</td>\n",
       "      <td>...</td>\n",
       "      <td>28240.0</td>\n",
       "      <td>20871.0</td>\n",
       "      <td>20077.0</td>\n",
       "      <td>23426.0</td>\n",
       "      <td>24583.0</td>\n",
       "      <td>21848.0</td>\n",
       "      <td>23130.0</td>\n",
       "      <td>23503.0</td>\n",
       "      <td>18864.0</td>\n",
       "      <td>206725.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>579383.0</td>\n",
       "      <td>128783.0</td>\n",
       "      <td>122148.0</td>\n",
       "      <td>123071.0</td>\n",
       "      <td>101910.0</td>\n",
       "      <td>74630.0</td>\n",
       "      <td>58887.0</td>\n",
       "      <td>50521.0</td>\n",
       "      <td>40129.0</td>\n",
       "      <td>49105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>31509.0</td>\n",
       "      <td>25748.0</td>\n",
       "      <td>26702.0</td>\n",
       "      <td>26030.0</td>\n",
       "      <td>26445.0</td>\n",
       "      <td>23519.0</td>\n",
       "      <td>26872.0</td>\n",
       "      <td>25897.0</td>\n",
       "      <td>24565.0</td>\n",
       "      <td>239715.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>591027.0</td>\n",
       "      <td>136743.0</td>\n",
       "      <td>125653.0</td>\n",
       "      <td>140306.0</td>\n",
       "      <td>105568.0</td>\n",
       "      <td>86753.0</td>\n",
       "      <td>64893.0</td>\n",
       "      <td>53276.0</td>\n",
       "      <td>43253.0</td>\n",
       "      <td>55048.0</td>\n",
       "      <td>...</td>\n",
       "      <td>33392.0</td>\n",
       "      <td>30072.0</td>\n",
       "      <td>31193.0</td>\n",
       "      <td>28262.0</td>\n",
       "      <td>26837.0</td>\n",
       "      <td>24105.0</td>\n",
       "      <td>27689.0</td>\n",
       "      <td>26242.0</td>\n",
       "      <td>25248.0</td>\n",
       "      <td>262689.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>613949.0</td>\n",
       "      <td>135998.0</td>\n",
       "      <td>126558.0</td>\n",
       "      <td>132866.0</td>\n",
       "      <td>106978.0</td>\n",
       "      <td>100176.0</td>\n",
       "      <td>93316.0</td>\n",
       "      <td>54939.0</td>\n",
       "      <td>45005.0</td>\n",
       "      <td>58473.0</td>\n",
       "      <td>...</td>\n",
       "      <td>34269.0</td>\n",
       "      <td>36559.0</td>\n",
       "      <td>34012.0</td>\n",
       "      <td>28874.0</td>\n",
       "      <td>27793.0</td>\n",
       "      <td>23313.0</td>\n",
       "      <td>28312.0</td>\n",
       "      <td>27069.0</td>\n",
       "      <td>25789.0</td>\n",
       "      <td>274280.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>605302.0</td>\n",
       "      <td>137205.0</td>\n",
       "      <td>129014.0</td>\n",
       "      <td>137223.0</td>\n",
       "      <td>104813.0</td>\n",
       "      <td>105250.0</td>\n",
       "      <td>102557.0</td>\n",
       "      <td>62569.0</td>\n",
       "      <td>46186.0</td>\n",
       "      <td>62346.0</td>\n",
       "      <td>...</td>\n",
       "      <td>36736.0</td>\n",
       "      <td>42668.0</td>\n",
       "      <td>31899.0</td>\n",
       "      <td>29671.0</td>\n",
       "      <td>29067.0</td>\n",
       "      <td>25081.0</td>\n",
       "      <td>28881.0</td>\n",
       "      <td>28325.0</td>\n",
       "      <td>27070.0</td>\n",
       "      <td>280676.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>631934.0</td>\n",
       "      <td>148885.0</td>\n",
       "      <td>131355.0</td>\n",
       "      <td>135784.0</td>\n",
       "      <td>113227.0</td>\n",
       "      <td>118696.0</td>\n",
       "      <td>110194.0</td>\n",
       "      <td>67519.0</td>\n",
       "      <td>47706.0</td>\n",
       "      <td>65008.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41986.0</td>\n",
       "      <td>47453.0</td>\n",
       "      <td>34474.0</td>\n",
       "      <td>31411.0</td>\n",
       "      <td>27756.0</td>\n",
       "      <td>26679.0</td>\n",
       "      <td>30994.0</td>\n",
       "      <td>29853.0</td>\n",
       "      <td>27542.0</td>\n",
       "      <td>295921.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-29</th>\n",
       "      <td>611835.0</td>\n",
       "      <td>152337.0</td>\n",
       "      <td>131583.0</td>\n",
       "      <td>144027.0</td>\n",
       "      <td>111143.0</td>\n",
       "      <td>121655.0</td>\n",
       "      <td>117823.0</td>\n",
       "      <td>61138.0</td>\n",
       "      <td>45463.0</td>\n",
       "      <td>74639.0</td>\n",
       "      <td>...</td>\n",
       "      <td>38490.0</td>\n",
       "      <td>46201.0</td>\n",
       "      <td>32319.0</td>\n",
       "      <td>32631.0</td>\n",
       "      <td>27788.0</td>\n",
       "      <td>25334.0</td>\n",
       "      <td>29093.0</td>\n",
       "      <td>30343.0</td>\n",
       "      <td>27086.0</td>\n",
       "      <td>297076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>580702.0</td>\n",
       "      <td>150374.0</td>\n",
       "      <td>137856.0</td>\n",
       "      <td>147346.0</td>\n",
       "      <td>106315.0</td>\n",
       "      <td>110012.0</td>\n",
       "      <td>124925.0</td>\n",
       "      <td>55770.0</td>\n",
       "      <td>46050.0</td>\n",
       "      <td>68853.0</td>\n",
       "      <td>...</td>\n",
       "      <td>36467.0</td>\n",
       "      <td>40817.0</td>\n",
       "      <td>31088.0</td>\n",
       "      <td>31324.0</td>\n",
       "      <td>29203.0</td>\n",
       "      <td>27618.0</td>\n",
       "      <td>24371.0</td>\n",
       "      <td>30791.0</td>\n",
       "      <td>26629.0</td>\n",
       "      <td>285986.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02</th>\n",
       "      <td>627014.0</td>\n",
       "      <td>152287.0</td>\n",
       "      <td>139150.0</td>\n",
       "      <td>144025.0</td>\n",
       "      <td>118441.0</td>\n",
       "      <td>116792.0</td>\n",
       "      <td>126486.0</td>\n",
       "      <td>65108.0</td>\n",
       "      <td>54684.0</td>\n",
       "      <td>73630.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>53415.0</td>\n",
       "      <td>36587.0</td>\n",
       "      <td>34103.0</td>\n",
       "      <td>30683.0</td>\n",
       "      <td>27018.0</td>\n",
       "      <td>27901.0</td>\n",
       "      <td>31706.0</td>\n",
       "      <td>28735.0</td>\n",
       "      <td>305749.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country           US        GB        AU        PH        CA        DE  \\\n",
       "2020-02-06       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2020-02-07      38.0       5.0    1203.0     191.0      22.0      26.0   \n",
       "2020-02-08   44211.0   14118.0   12969.0    5748.0    7941.0    5782.0   \n",
       "2020-02-09  125106.0   35448.0   30685.0   10825.0   22204.0   16862.0   \n",
       "2020-02-10  207891.0   46802.0   39603.0   13232.0   35656.0   26987.0   \n",
       "2020-02-11  234936.0   51090.0   44793.0   15595.0   40150.0   26294.0   \n",
       "2020-02-12  271049.0   57904.0   51152.0   19766.0   43242.0   32168.0   \n",
       "2020-02-13  318557.0   62787.0   58558.0   22142.0   44444.0   35665.0   \n",
       "2020-02-14  440639.0   80636.0   62403.0   25065.0   61161.0   44579.0   \n",
       "2020-02-15  453602.0   89156.0   74278.0   36728.0   70057.0   55658.0   \n",
       "2020-02-16  438513.0   91111.0   83779.0   41187.0   69301.0   55308.0   \n",
       "2020-02-17  496798.0  103697.0   84193.0   42423.0   75411.0   61596.0   \n",
       "2020-02-18  521256.0  114258.0   84473.0   52101.0   82695.0   62573.0   \n",
       "2020-02-19  535891.0  115285.0   87904.0   81654.0   85159.0   65284.0   \n",
       "2020-02-20  559156.0  116400.0   95047.0  108004.0   88039.0   66326.0   \n",
       "2020-02-21  563826.0  118127.0  107926.0  116214.0   89498.0   75228.0   \n",
       "2020-02-22  531866.0  117306.0  110261.0  121002.0   88208.0   72586.0   \n",
       "2020-02-23  516522.0  114910.0  118284.0  127295.0   89065.0   66481.0   \n",
       "2020-02-24  579383.0  128783.0  122148.0  123071.0  101910.0   74630.0   \n",
       "2020-02-25  591027.0  136743.0  125653.0  140306.0  105568.0   86753.0   \n",
       "2020-02-26  613949.0  135998.0  126558.0  132866.0  106978.0  100176.0   \n",
       "2020-02-27  605302.0  137205.0  129014.0  137223.0  104813.0  105250.0   \n",
       "2020-02-28  631934.0  148885.0  131355.0  135784.0  113227.0  118696.0   \n",
       "2020-02-29  611835.0  152337.0  131583.0  144027.0  111143.0  121655.0   \n",
       "2020-03-01  580702.0  150374.0  137856.0  147346.0  106315.0  110012.0   \n",
       "2020-03-02  627014.0  152287.0  139150.0  144025.0  118441.0  116792.0   \n",
       "\n",
       "country           ID       SE       NL       MX  ...       NO       BR  \\\n",
       "2020-02-06       NaN      NaN      NaN      NaN  ...      NaN      NaN   \n",
       "2020-02-07     168.0     34.0     29.0      0.0  ...     26.0      0.0   \n",
       "2020-02-08    2830.0   4490.0   5300.0   1222.0  ...   2502.0   1199.0   \n",
       "2020-02-09    5531.0  12948.0  12673.0   3781.0  ...   8791.0   2521.0   \n",
       "2020-02-10    7249.0  21303.0  19870.0   5788.0  ...  14414.0   3693.0   \n",
       "2020-02-11    8745.0  22464.0  24595.0   7118.0  ...  14113.0   4060.0   \n",
       "2020-02-12   10498.0  25434.0  28100.0   8030.0  ...  16011.0   5726.0   \n",
       "2020-02-13   14033.0  29887.0  30117.0   9721.0  ...  19333.0   7425.0   \n",
       "2020-02-14   28729.0  32631.0  31191.0  15156.0  ...  20761.0  13771.0   \n",
       "2020-02-15   37895.0  32988.0  31893.0  20817.0  ...  21683.0  18824.0   \n",
       "2020-02-16   41233.0  32373.0  32296.0  25011.0  ...  21818.0  17348.0   \n",
       "2020-02-17   42488.0  34809.0  38786.0  30028.0  ...  23684.0  22049.0   \n",
       "2020-02-18   42409.0  34865.0  41284.0  32794.0  ...  24912.0  23817.0   \n",
       "2020-02-19   44738.0  35331.0  41271.0  33647.0  ...  24544.0  25577.0   \n",
       "2020-02-20   47747.0  35111.0  41561.0  35641.0  ...  24713.0  27646.0   \n",
       "2020-02-21   49396.0  44304.0  40544.0  38730.0  ...  30164.0  28708.0   \n",
       "2020-02-22   52851.0  42558.0  34894.0  39276.0  ...  27355.0  24566.0   \n",
       "2020-02-23   56291.0  42490.0  33118.0  36785.0  ...  28240.0  20871.0   \n",
       "2020-02-24   58887.0  50521.0  40129.0  49105.0  ...  31509.0  25748.0   \n",
       "2020-02-25   64893.0  53276.0  43253.0  55048.0  ...  33392.0  30072.0   \n",
       "2020-02-26   93316.0  54939.0  45005.0  58473.0  ...  34269.0  36559.0   \n",
       "2020-02-27  102557.0  62569.0  46186.0  62346.0  ...  36736.0  42668.0   \n",
       "2020-02-28  110194.0  67519.0  47706.0  65008.0  ...  41986.0  47453.0   \n",
       "2020-02-29  117823.0  61138.0  45463.0  74639.0  ...  38490.0  46201.0   \n",
       "2020-03-01  124925.0  55770.0  46050.0  68853.0  ...  36467.0  40817.0   \n",
       "2020-03-02  126486.0  65108.0  54684.0  73630.0  ...  42600.0  53415.0   \n",
       "\n",
       "country          IT       IN       SG       NZ       FI       MY       ES  \\\n",
       "2020-02-06      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2020-02-07      5.0    109.0     72.0    316.0     19.0    160.0      5.0   \n",
       "2020-02-08   1474.0   1327.0   3282.0   2868.0   2677.0   1681.0   1125.0   \n",
       "2020-02-09   3441.0   1886.0   6924.0   5312.0   5101.0   3008.0   2301.0   \n",
       "2020-02-10   4492.0   3218.0   7756.0   7843.0   6922.0   3942.0   3552.0   \n",
       "2020-02-11   5481.0   3791.0   7838.0   8653.0   7941.0   4203.0   4045.0   \n",
       "2020-02-12   6545.0   5442.0   8067.0  11208.0   8359.0   4237.0   5037.0   \n",
       "2020-02-13   8180.0   7741.0   9060.0  13198.0   8760.0   5244.0   5862.0   \n",
       "2020-02-14  11625.0  10612.0   9016.0  13877.0   9590.0   6306.0   7250.0   \n",
       "2020-02-15  15983.0  16021.0  12600.0  14479.0  11084.0  10047.0  10849.0   \n",
       "2020-02-16  15007.0  17753.0  13805.0  16637.0  11150.0  10681.0  12662.0   \n",
       "2020-02-17  16918.0  19569.0  15021.0  16648.0  11127.0  11947.0  14579.0   \n",
       "2020-02-18  19157.0  22053.0  16266.0  18704.0  11593.0  13602.0  16780.0   \n",
       "2020-02-19  20512.0  22551.0  18870.0  20389.0  11833.0  15602.0  16855.0   \n",
       "2020-02-20  20678.0  23160.0  22774.0  21095.0  13251.0  19702.0  17933.0   \n",
       "2020-02-21  23465.0  22968.0  23500.0  21263.0  22239.0  21315.0  19280.0   \n",
       "2020-02-22  22482.0  23537.0  24642.0  20515.0  23574.0  22030.0  19068.0   \n",
       "2020-02-23  20077.0  23426.0  24583.0  21848.0  23130.0  23503.0  18864.0   \n",
       "2020-02-24  26702.0  26030.0  26445.0  23519.0  26872.0  25897.0  24565.0   \n",
       "2020-02-25  31193.0  28262.0  26837.0  24105.0  27689.0  26242.0  25248.0   \n",
       "2020-02-26  34012.0  28874.0  27793.0  23313.0  28312.0  27069.0  25789.0   \n",
       "2020-02-27  31899.0  29671.0  29067.0  25081.0  28881.0  28325.0  27070.0   \n",
       "2020-02-28  34474.0  31411.0  27756.0  26679.0  30994.0  29853.0  27542.0   \n",
       "2020-02-29  32319.0  32631.0  27788.0  25334.0  29093.0  30343.0  27086.0   \n",
       "2020-03-01  31088.0  31324.0  29203.0  27618.0  24371.0  30791.0  26629.0   \n",
       "2020-03-02  36587.0  34103.0  30683.0  27018.0  27901.0  31706.0  28735.0   \n",
       "\n",
       "country        Other  \n",
       "2020-02-06       0.0  \n",
       "2020-02-07     227.0  \n",
       "2020-02-08   15093.0  \n",
       "2020-02-09   36807.0  \n",
       "2020-02-10   48076.0  \n",
       "2020-02-11   55376.0  \n",
       "2020-02-12   68462.0  \n",
       "2020-02-13   80671.0  \n",
       "2020-02-14  106720.0  \n",
       "2020-02-15  146133.0  \n",
       "2020-02-16  151126.0  \n",
       "2020-02-17  176186.0  \n",
       "2020-02-18  190771.0  \n",
       "2020-02-19  202622.0  \n",
       "2020-02-20  211296.0  \n",
       "2020-02-21  222991.0  \n",
       "2020-02-22  217360.0  \n",
       "2020-02-23  206725.0  \n",
       "2020-02-24  239715.0  \n",
       "2020-02-25  262689.0  \n",
       "2020-02-26  274280.0  \n",
       "2020-02-27  280676.0  \n",
       "2020-02-28  295921.0  \n",
       "2020-02-29  297076.0  \n",
       "2020-03-01  285986.0  \n",
       "2020-03-02  305749.0  \n",
       "\n",
       "[26 rows x 21 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "dailyMeta = topN.idxmax().to_frame('Best Day')\n",
    "dailyMeta['Best Streams'] = topN.max()\n",
    "dailyMeta['Yesterday'] = topN.iloc[-1]\n",
    "dailyMeta['D2'] = topN.iloc[-2]\n",
    "dailyMeta['D8'] = topN.iloc[-8]\n",
    "dailyMeta['% Yesterday'] = topN.pct_change().iloc[-1]\n",
    "dailyMeta['% 7 Day'] = topN.pct_change(7).iloc[-1]\n",
    "dailyMeta['Country Name'] = [countrymapping.get(c) or 'Other' for c in topN.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Best Day</th>\n",
       "      <th>Best Streams</th>\n",
       "      <th>Yesterday</th>\n",
       "      <th>D2</th>\n",
       "      <th>D8</th>\n",
       "      <th>% Yesterday</th>\n",
       "      <th>% 7 Day</th>\n",
       "      <th>Country Name</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>631934.0</td>\n",
       "      <td>627014.0</td>\n",
       "      <td>580702.0</td>\n",
       "      <td>579383.0</td>\n",
       "      <td>0.079752</td>\n",
       "      <td>0.082210</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GB</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>152337.0</td>\n",
       "      <td>152287.0</td>\n",
       "      <td>150374.0</td>\n",
       "      <td>128783.0</td>\n",
       "      <td>0.012722</td>\n",
       "      <td>0.182509</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AU</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>139150.0</td>\n",
       "      <td>139150.0</td>\n",
       "      <td>137856.0</td>\n",
       "      <td>122148.0</td>\n",
       "      <td>0.009387</td>\n",
       "      <td>0.139192</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PH</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>147346.0</td>\n",
       "      <td>144025.0</td>\n",
       "      <td>147346.0</td>\n",
       "      <td>123071.0</td>\n",
       "      <td>-0.022539</td>\n",
       "      <td>0.170259</td>\n",
       "      <td>Philippines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>118441.0</td>\n",
       "      <td>118441.0</td>\n",
       "      <td>106315.0</td>\n",
       "      <td>101910.0</td>\n",
       "      <td>0.114057</td>\n",
       "      <td>0.162212</td>\n",
       "      <td>Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>121655.0</td>\n",
       "      <td>116792.0</td>\n",
       "      <td>110012.0</td>\n",
       "      <td>74630.0</td>\n",
       "      <td>0.061630</td>\n",
       "      <td>0.564947</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>126486.0</td>\n",
       "      <td>126486.0</td>\n",
       "      <td>124925.0</td>\n",
       "      <td>58887.0</td>\n",
       "      <td>0.012495</td>\n",
       "      <td>1.147944</td>\n",
       "      <td>Indonesia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>67519.0</td>\n",
       "      <td>65108.0</td>\n",
       "      <td>55770.0</td>\n",
       "      <td>50521.0</td>\n",
       "      <td>0.167438</td>\n",
       "      <td>0.288731</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NL</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>54684.0</td>\n",
       "      <td>54684.0</td>\n",
       "      <td>46050.0</td>\n",
       "      <td>40129.0</td>\n",
       "      <td>0.187492</td>\n",
       "      <td>0.362705</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MX</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>74639.0</td>\n",
       "      <td>73630.0</td>\n",
       "      <td>68853.0</td>\n",
       "      <td>49105.0</td>\n",
       "      <td>0.069380</td>\n",
       "      <td>0.499440</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>79771.0</td>\n",
       "      <td>69996.0</td>\n",
       "      <td>74270.0</td>\n",
       "      <td>38709.0</td>\n",
       "      <td>-0.057547</td>\n",
       "      <td>0.808262</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NO</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>36467.0</td>\n",
       "      <td>31509.0</td>\n",
       "      <td>0.168179</td>\n",
       "      <td>0.351995</td>\n",
       "      <td>Norway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>53415.0</td>\n",
       "      <td>53415.0</td>\n",
       "      <td>40817.0</td>\n",
       "      <td>25748.0</td>\n",
       "      <td>0.308646</td>\n",
       "      <td>1.074530</td>\n",
       "      <td>Brazil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>36587.0</td>\n",
       "      <td>36587.0</td>\n",
       "      <td>31088.0</td>\n",
       "      <td>26702.0</td>\n",
       "      <td>0.176885</td>\n",
       "      <td>0.370197</td>\n",
       "      <td>Italy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>34103.0</td>\n",
       "      <td>34103.0</td>\n",
       "      <td>31324.0</td>\n",
       "      <td>26030.0</td>\n",
       "      <td>0.088718</td>\n",
       "      <td>0.310142</td>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>30683.0</td>\n",
       "      <td>30683.0</td>\n",
       "      <td>29203.0</td>\n",
       "      <td>26445.0</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.160257</td>\n",
       "      <td>Singapore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NZ</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>27618.0</td>\n",
       "      <td>27018.0</td>\n",
       "      <td>27618.0</td>\n",
       "      <td>23519.0</td>\n",
       "      <td>-0.021725</td>\n",
       "      <td>0.148773</td>\n",
       "      <td>New Zealand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FI</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>30994.0</td>\n",
       "      <td>27901.0</td>\n",
       "      <td>24371.0</td>\n",
       "      <td>26872.0</td>\n",
       "      <td>0.144844</td>\n",
       "      <td>0.038293</td>\n",
       "      <td>Finland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MY</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>31706.0</td>\n",
       "      <td>31706.0</td>\n",
       "      <td>30791.0</td>\n",
       "      <td>25897.0</td>\n",
       "      <td>0.029716</td>\n",
       "      <td>0.224312</td>\n",
       "      <td>Malaysia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>28735.0</td>\n",
       "      <td>28735.0</td>\n",
       "      <td>26629.0</td>\n",
       "      <td>24565.0</td>\n",
       "      <td>0.079087</td>\n",
       "      <td>0.169754</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>305749.0</td>\n",
       "      <td>305749.0</td>\n",
       "      <td>285986.0</td>\n",
       "      <td>239715.0</td>\n",
       "      <td>0.069105</td>\n",
       "      <td>0.275469</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Best Day  Best Streams  Yesterday        D2        D8  % Yesterday  \\\n",
       "country                                                                        \n",
       "US      2020-02-28      631934.0   627014.0  580702.0  579383.0     0.079752   \n",
       "GB      2020-02-29      152337.0   152287.0  150374.0  128783.0     0.012722   \n",
       "AU      2020-03-02      139150.0   139150.0  137856.0  122148.0     0.009387   \n",
       "PH      2020-03-01      147346.0   144025.0  147346.0  123071.0    -0.022539   \n",
       "CA      2020-03-02      118441.0   118441.0  106315.0  101910.0     0.114057   \n",
       "DE      2020-02-29      121655.0   116792.0  110012.0   74630.0     0.061630   \n",
       "ID      2020-03-02      126486.0   126486.0  124925.0   58887.0     0.012495   \n",
       "SE      2020-02-28       67519.0    65108.0   55770.0   50521.0     0.167438   \n",
       "NL      2020-03-02       54684.0    54684.0   46050.0   40129.0     0.187492   \n",
       "MX      2020-02-29       74639.0    73630.0   68853.0   49105.0     0.069380   \n",
       "FR      2020-02-29       79771.0    69996.0   74270.0   38709.0    -0.057547   \n",
       "NO      2020-03-02       42600.0    42600.0   36467.0   31509.0     0.168179   \n",
       "BR      2020-03-02       53415.0    53415.0   40817.0   25748.0     0.308646   \n",
       "IT      2020-03-02       36587.0    36587.0   31088.0   26702.0     0.176885   \n",
       "IN      2020-03-02       34103.0    34103.0   31324.0   26030.0     0.088718   \n",
       "SG      2020-03-02       30683.0    30683.0   29203.0   26445.0     0.050680   \n",
       "NZ      2020-03-01       27618.0    27018.0   27618.0   23519.0    -0.021725   \n",
       "FI      2020-02-28       30994.0    27901.0   24371.0   26872.0     0.144844   \n",
       "MY      2020-03-02       31706.0    31706.0   30791.0   25897.0     0.029716   \n",
       "ES      2020-03-02       28735.0    28735.0   26629.0   24565.0     0.079087   \n",
       "Other   2020-03-02      305749.0   305749.0  285986.0  239715.0     0.069105   \n",
       "\n",
       "          % 7 Day    Country Name  \n",
       "country                            \n",
       "US       0.082210   United States  \n",
       "GB       0.182509  United Kingdom  \n",
       "AU       0.139192       Australia  \n",
       "PH       0.170259     Philippines  \n",
       "CA       0.162212          Canada  \n",
       "DE       0.564947         Germany  \n",
       "ID       1.147944       Indonesia  \n",
       "SE       0.288731          Sweden  \n",
       "NL       0.362705     Netherlands  \n",
       "MX       0.499440          Mexico  \n",
       "FR       0.808262          France  \n",
       "NO       0.351995          Norway  \n",
       "BR       1.074530          Brazil  \n",
       "IT       0.370197           Italy  \n",
       "IN       0.310142           India  \n",
       "SG       0.160257       Singapore  \n",
       "NZ       0.148773     New Zealand  \n",
       "FI       0.038293         Finland  \n",
       "MY       0.224312        Malaysia  \n",
       "ES       0.169754           Spain  \n",
       "Other    0.275469           Other  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dailyMeta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>topN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>2438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>124785.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>320253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>487669.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>544344.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>627662.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>720078.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>939157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>1052961.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-16</th>\n",
       "      <td>1065782.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>1181473.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>1261044.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>1333051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>1413802.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>1490460.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>1452991.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>1441316.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>1604563.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>1696646.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>1778581.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>1830764.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>1945039.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-29</th>\n",
       "      <td>1940699.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>1880781.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-02</th>\n",
       "      <td>2000361.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 topN\n",
       "2020-02-06        0.0\n",
       "2020-02-07     2438.0\n",
       "2020-02-08   124785.0\n",
       "2020-02-09   320253.0\n",
       "2020-02-10   487669.0\n",
       "2020-02-11   544344.0\n",
       "2020-02-12   627662.0\n",
       "2020-02-13   720078.0\n",
       "2020-02-14   939157.0\n",
       "2020-02-15  1052961.0\n",
       "2020-02-16  1065782.0\n",
       "2020-02-17  1181473.0\n",
       "2020-02-18  1261044.0\n",
       "2020-02-19  1333051.0\n",
       "2020-02-20  1413802.0\n",
       "2020-02-21  1490460.0\n",
       "2020-02-22  1452991.0\n",
       "2020-02-23  1441316.0\n",
       "2020-02-24  1604563.0\n",
       "2020-02-25  1696646.0\n",
       "2020-02-26  1778581.0\n",
       "2020-02-27  1830764.0\n",
       "2020-02-28  1945039.0\n",
       "2020-02-29  1940699.0\n",
       "2020-03-01  1880781.0\n",
       "2020-03-02  2000361.0"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topN.sum(axis=1).to_frame('topN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Length of values does not match length of index",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-79-bec7c9b37b95>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmeta\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_meta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdailyVals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-78-8751fba0ec19>\u001b[0m in \u001b[0;36mcreate_meta\u001b[0;34m(df)\u001b[0m\n\u001b[1;32m     11\u001b[0m     \u001b[0mdailyMeta\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'% Yesterday'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtopN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpct_change\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m     \u001b[0mdailyMeta\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'% 7 Day'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtopN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpct_change\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m7\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m     \u001b[0mdailyMeta\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Country Name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtopN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcountrymapping\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mdailyMeta\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/src/thundr/tracker/venv/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__setitem__\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m   2936\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2937\u001b[0m             \u001b[0;31m# set column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2938\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_item\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2939\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2940\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_setitem_slice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/src/thundr/tracker/venv/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_set_item\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m   2998\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2999\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ensure_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3000\u001b[0;31m         \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sanitize_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3001\u001b[0m         \u001b[0mNDFrame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_item\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3002\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/src/thundr/tracker/venv/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_sanitize_column\u001b[0;34m(self, key, value, broadcast)\u001b[0m\n\u001b[1;32m   3634\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3635\u001b[0m             \u001b[0;31m# turn me into an ndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3636\u001b[0;31m             \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msanitize_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3637\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3638\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/src/thundr/tracker/venv/lib/python3.7/site-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36msanitize_index\u001b[0;34m(data, index, copy)\u001b[0m\n\u001b[1;32m    609\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    610\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 611\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Length of values does not match length of index\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    612\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    613\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mABCIndexClass\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Length of values does not match length of index"
     ]
    }
   ],
   "source": [
    "meta = create_meta(dailyVals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2020-02-06          0.0\n",
       "2020-02-07       2438.0\n",
       "2020-02-08     124785.0\n",
       "2020-02-09     320253.0\n",
       "2020-02-10     487669.0\n",
       "2020-02-11     544344.0\n",
       "2020-02-12     627662.0\n",
       "2020-02-13     720078.0\n",
       "2020-02-14     939157.0\n",
       "2020-02-15    1052961.0\n",
       "2020-02-16    1065782.0\n",
       "2020-02-17    1181473.0\n",
       "2020-02-18    1261044.0\n",
       "2020-02-19    1333051.0\n",
       "2020-02-20    1413802.0\n",
       "2020-02-21    1490460.0\n",
       "2020-02-22    1452991.0\n",
       "2020-02-23    1441316.0\n",
       "2020-02-24    1604563.0\n",
       "2020-02-25    1696646.0\n",
       "2020-02-26    1778581.0\n",
       "2020-02-27    1830764.0\n",
       "2020-02-28    1945039.0\n",
       "2020-02-29    1940699.0\n",
       "2020-03-01    1880781.0\n",
       "2020-03-02    2000361.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countryTotals = dailyVals.sum(axis=0)\n",
    "sortedColumns = sorted(dailyVals.columns, key=lambda col: countryTotals.loc[col], reverse=True)\n",
    "topN = dailyVals[sortedColumns[:20]]\n",
    "topN.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "totalsAndTop = pd.merge(tdf.sort_index().streams.to_frame('total'), topN.sum(axis=1).to_frame('top20'), left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "totalsAndTop['remaining'] = totalsAndTop.total - totalsAndTop.top20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "withRemaining = dailyVals.copy()\n",
    "withRemaining['remaining'] = totalsAndTop.total - totalsAndTop.top20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Best Day</th>\n",
       "      <th>Best Streams</th>\n",
       "      <th>Yesterday</th>\n",
       "      <th>D2</th>\n",
       "      <th>D8</th>\n",
       "      <th>% Yesterday</th>\n",
       "      <th>% 7 Day</th>\n",
       "      <th>Country Name</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>631934.0</td>\n",
       "      <td>627014.0</td>\n",
       "      <td>580702.0</td>\n",
       "      <td>579383.0</td>\n",
       "      <td>0.079752</td>\n",
       "      <td>0.082210</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GB</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>152337.0</td>\n",
       "      <td>152287.0</td>\n",
       "      <td>150374.0</td>\n",
       "      <td>128783.0</td>\n",
       "      <td>0.012722</td>\n",
       "      <td>0.182509</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AU</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>139150.0</td>\n",
       "      <td>139150.0</td>\n",
       "      <td>137856.0</td>\n",
       "      <td>122148.0</td>\n",
       "      <td>0.009387</td>\n",
       "      <td>0.139192</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PH</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>147346.0</td>\n",
       "      <td>144025.0</td>\n",
       "      <td>147346.0</td>\n",
       "      <td>123071.0</td>\n",
       "      <td>-0.022539</td>\n",
       "      <td>0.170259</td>\n",
       "      <td>Philippines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>118441.0</td>\n",
       "      <td>118441.0</td>\n",
       "      <td>106315.0</td>\n",
       "      <td>101910.0</td>\n",
       "      <td>0.114057</td>\n",
       "      <td>0.162212</td>\n",
       "      <td>Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>121655.0</td>\n",
       "      <td>116792.0</td>\n",
       "      <td>110012.0</td>\n",
       "      <td>74630.0</td>\n",
       "      <td>0.061630</td>\n",
       "      <td>0.564947</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>126486.0</td>\n",
       "      <td>126486.0</td>\n",
       "      <td>124925.0</td>\n",
       "      <td>58887.0</td>\n",
       "      <td>0.012495</td>\n",
       "      <td>1.147944</td>\n",
       "      <td>Indonesia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>67519.0</td>\n",
       "      <td>65108.0</td>\n",
       "      <td>55770.0</td>\n",
       "      <td>50521.0</td>\n",
       "      <td>0.167438</td>\n",
       "      <td>0.288731</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NL</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>54684.0</td>\n",
       "      <td>54684.0</td>\n",
       "      <td>46050.0</td>\n",
       "      <td>40129.0</td>\n",
       "      <td>0.187492</td>\n",
       "      <td>0.362705</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MX</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>74639.0</td>\n",
       "      <td>73630.0</td>\n",
       "      <td>68853.0</td>\n",
       "      <td>49105.0</td>\n",
       "      <td>0.069380</td>\n",
       "      <td>0.499440</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>79771.0</td>\n",
       "      <td>69996.0</td>\n",
       "      <td>74270.0</td>\n",
       "      <td>38709.0</td>\n",
       "      <td>-0.057547</td>\n",
       "      <td>0.808262</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NO</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>36467.0</td>\n",
       "      <td>31509.0</td>\n",
       "      <td>0.168179</td>\n",
       "      <td>0.351995</td>\n",
       "      <td>Norway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>53415.0</td>\n",
       "      <td>53415.0</td>\n",
       "      <td>40817.0</td>\n",
       "      <td>25748.0</td>\n",
       "      <td>0.308646</td>\n",
       "      <td>1.074530</td>\n",
       "      <td>Brazil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>36587.0</td>\n",
       "      <td>36587.0</td>\n",
       "      <td>31088.0</td>\n",
       "      <td>26702.0</td>\n",
       "      <td>0.176885</td>\n",
       "      <td>0.370197</td>\n",
       "      <td>Italy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>34103.0</td>\n",
       "      <td>34103.0</td>\n",
       "      <td>31324.0</td>\n",
       "      <td>26030.0</td>\n",
       "      <td>0.088718</td>\n",
       "      <td>0.310142</td>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>30683.0</td>\n",
       "      <td>30683.0</td>\n",
       "      <td>29203.0</td>\n",
       "      <td>26445.0</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.160257</td>\n",
       "      <td>Singapore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NZ</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>27618.0</td>\n",
       "      <td>27018.0</td>\n",
       "      <td>27618.0</td>\n",
       "      <td>23519.0</td>\n",
       "      <td>-0.021725</td>\n",
       "      <td>0.148773</td>\n",
       "      <td>New Zealand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FI</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>30994.0</td>\n",
       "      <td>27901.0</td>\n",
       "      <td>24371.0</td>\n",
       "      <td>26872.0</td>\n",
       "      <td>0.144844</td>\n",
       "      <td>0.038293</td>\n",
       "      <td>Finland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MY</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>31706.0</td>\n",
       "      <td>31706.0</td>\n",
       "      <td>30791.0</td>\n",
       "      <td>25897.0</td>\n",
       "      <td>0.029716</td>\n",
       "      <td>0.224312</td>\n",
       "      <td>Malaysia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>28735.0</td>\n",
       "      <td>28735.0</td>\n",
       "      <td>26629.0</td>\n",
       "      <td>24565.0</td>\n",
       "      <td>0.079087</td>\n",
       "      <td>0.169754</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Best Day  Best Streams  Yesterday        D2        D8  % Yesterday  \\\n",
       "country                                                                        \n",
       "US      2020-02-28      631934.0   627014.0  580702.0  579383.0     0.079752   \n",
       "GB      2020-02-29      152337.0   152287.0  150374.0  128783.0     0.012722   \n",
       "AU      2020-03-02      139150.0   139150.0  137856.0  122148.0     0.009387   \n",
       "PH      2020-03-01      147346.0   144025.0  147346.0  123071.0    -0.022539   \n",
       "CA      2020-03-02      118441.0   118441.0  106315.0  101910.0     0.114057   \n",
       "DE      2020-02-29      121655.0   116792.0  110012.0   74630.0     0.061630   \n",
       "ID      2020-03-02      126486.0   126486.0  124925.0   58887.0     0.012495   \n",
       "SE      2020-02-28       67519.0    65108.0   55770.0   50521.0     0.167438   \n",
       "NL      2020-03-02       54684.0    54684.0   46050.0   40129.0     0.187492   \n",
       "MX      2020-02-29       74639.0    73630.0   68853.0   49105.0     0.069380   \n",
       "FR      2020-02-29       79771.0    69996.0   74270.0   38709.0    -0.057547   \n",
       "NO      2020-03-02       42600.0    42600.0   36467.0   31509.0     0.168179   \n",
       "BR      2020-03-02       53415.0    53415.0   40817.0   25748.0     0.308646   \n",
       "IT      2020-03-02       36587.0    36587.0   31088.0   26702.0     0.176885   \n",
       "IN      2020-03-02       34103.0    34103.0   31324.0   26030.0     0.088718   \n",
       "SG      2020-03-02       30683.0    30683.0   29203.0   26445.0     0.050680   \n",
       "NZ      2020-03-01       27618.0    27018.0   27618.0   23519.0    -0.021725   \n",
       "FI      2020-02-28       30994.0    27901.0   24371.0   26872.0     0.144844   \n",
       "MY      2020-03-02       31706.0    31706.0   30791.0   25897.0     0.029716   \n",
       "ES      2020-03-02       28735.0    28735.0   26629.0   24565.0     0.079087   \n",
       "\n",
       "          % 7 Day    Country Name  \n",
       "country                            \n",
       "US       0.082210   United States  \n",
       "GB       0.182509  United Kingdom  \n",
       "AU       0.139192       Australia  \n",
       "PH       0.170259     Philippines  \n",
       "CA       0.162212          Canada  \n",
       "DE       0.564947         Germany  \n",
       "ID       1.147944       Indonesia  \n",
       "SE       0.288731          Sweden  \n",
       "NL       0.362705     Netherlands  \n",
       "MX       0.499440          Mexico  \n",
       "FR       0.808262          France  \n",
       "NO       0.351995          Norway  \n",
       "BR       1.074530          Brazil  \n",
       "IT       0.370197           Italy  \n",
       "IN       0.310142           India  \n",
       "SG       0.160257       Singapore  \n",
       "NZ       0.148773     New Zealand  \n",
       "FI       0.038293         Finland  \n",
       "MY       0.224312        Malaysia  \n",
       "ES       0.169754           Spain  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114430208>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 468x468 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dailyMeta['Yesterday'].plot(kind='pie', figsize=(6.5,6.5), autopct='%.1f', title=\"Streams Yesterday\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 590,
   "metadata": {},
   "outputs": [],
   "source": [
    "def small_multiples(data_frame, nrows, ncols, title=\"\"):\n",
    "    nrows = 5\n",
    "    ncols = 4\n",
    "    countryTotals = data_frame.sum(axis=0)\n",
    "    sortedColumns = sorted(data_frame.columns, key=lambda col: countryTotals.loc[col], reverse=True)\n",
    "    fig, axes = plt.subplots(nrows=nrows, ncols=ncols, sharex=True, sharey=False, figsize=(12, 9.2))\n",
    "    fig.suptitle(title, fontsize=14)\n",
    "    for i, c in list(enumerate(sortedColumns))[:20]:\n",
    "        ax = axes[int(i / ncols)][i % ncols]\n",
    "\n",
    "        #     ax.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "        data_frame[[c]].plot(legend=False, ax=ax, title=countrymapping[c])\n",
    "        ax.xaxis.set_major_locator(\n",
    "            mdates.MonthLocator()\n",
    "        )\n",
    "        ax.xaxis.set_minor_locator(\n",
    "            mdates.DayLocator(interval=4)\n",
    "        )\n",
    "    plt.tight_layout()\n",
    "    fig.subplots_adjust(top=0.91)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 591,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x662.4 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "small_multiples(dailyVals, 5, 4, title=\"Streams / Day (Top 20 Markets)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 592,
   "metadata": {},
   "outputs": [],
   "source": [
    "rolling7day = df.pivot(index='as_of', columns='country', values='total').diff(7) / 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 593,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x662.4 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "small_multiples(rolling7day, 5, 4, title=\"Streams / Day Rolling 7 Avg. (Top 20 Markets)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Playlists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_playlists = 'https://generic.wg.spotify.com/s4x-insights-api/v1/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/top-playlists?time-filter=28day&aggregation-level=recording'\n",
    "top_playlists7 = 'https://generic.wg.spotify.com/s4x-insights-api/v1/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/top-playlists?time-filter=7day&aggregation-level=recording'\n",
    "recent_playlists = 'https://generic.wg.spotify.com/s4x-insights-api/v1/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/recent-playlists?time-filter=7day&aggregation-level=recording'\n",
    "top_playlists_all = 'https://generic.wg.spotify.com/s4x-insights-api/v1/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/top-playlists&aggregation-level=recording'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_top_playlists():\n",
    "    return requests.get(top_playlists, headers=headers).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 576,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_top_playlists7():\n",
    "    return requests.get(top_playlists7, headers=headers).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_top_playlists2():\n",
    "    return requests.get(recent_playlists, headers=headers).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJson = get_top_playlists()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJsonMar4 = get_top_playlists()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 550,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJsonMar5 = get_top_playlists()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJson7 = get_top_playlists7()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 526,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJson7Mar4 = get_top_playlists7()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 577,
   "metadata": {},
   "outputs": [],
   "source": [
    "topJson7Mar5 = get_top_playlists7()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [],
   "source": [
    "topD0 = pd.DataFrame(topJsonMar4['data'])\n",
    "topD1 = pd.DataFrame(topJson['data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "metadata": {},
   "outputs": [],
   "source": [
    "topMerged = pd.merge(topD0.set_index('uri'), topD1.set_index('uri'), left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 549,
   "metadata": {},
   "outputs": [],
   "source": [
    "topMerged['streamsDelta'] = topMerged.streams_x.astype(int) - topMerged.streams_y.astype(int) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': [{'uri': 'spotify:playlist:37i9dQZF1DXcBWIGoYBM5M',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '4636212',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': \"Today's Top Hits\",\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002763a8ee15e2326bee786ae0b',\n",
       "   'followers': '25880039'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWUa8ZRTfalHk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '734774',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Pop Rising',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000029abefad20f333b9931f6187e',\n",
       "   'followers': '1893268'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXcZQSjptOQtk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '627292',\n",
       "   'dateAdded': '2020-02-19',\n",
       "   'title': 'Top Hits Philippines',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000024b747e5c58885e269836d5b8',\n",
       "   'followers': '3720614'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '414478',\n",
       "   'title': 'Global Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_GLOBAL_DEFAULT.jpg',\n",
       "   'followers': '15017361'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:radio',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '393860',\n",
       "   'title': 'Radio',\n",
       "   'thumbnailUrl': 'https://misc.scdn.co/s4x/radio.jpg',\n",
       "   'followers': '18446744073709551615',\n",
       "   'isPersonalized': True},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWhB4HOWKFQc',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '261173',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Lagi Viral',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002f15296b5c632ca55a3060e11',\n",
       "   'followers': '90352'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLiRSasKsNU9',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '233987',\n",
       "   'title': 'Global Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_GLOBAL_DEFAULT.jpg',\n",
       "   'followers': '1602789'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4JAvHpjipBk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '198705',\n",
       "   'title': 'New Music Friday',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002954e10e34a45a44693bbb939',\n",
       "   'followers': '3674695'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXa2EiKmMLhFD',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '179217',\n",
       "   'dateAdded': '2020-02-25',\n",
       "   'title': 'Top Hits Indonesia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000286be22678ae649acb8d1907d',\n",
       "   'followers': '995633'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWY4lFlS4Pnso',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '178064',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hot Hits UK',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000023781cc0d66ae42bcf98bc6f8',\n",
       "   'followers': '2626983'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWXXs9GFYnvLB',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '171021',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hot Hits Australia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020bbce932e70e88c5e4333cb7',\n",
       "   'followers': '1206600'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLRQDuF5jeBp',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '158575',\n",
       "   'title': 'United States Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_US_DEFAULT.jpg',\n",
       "   'followers': '3242060'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWXT8uSSn6PRy',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '152212',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Hot Hits Canada',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002c12afc68a6c3566f95958416',\n",
       "   'followers': '640736'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWT1y71ZcMPe5',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '137594',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': \"It's a Hit!\",\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000206dda30722de48b3477206e8',\n",
       "   'followers': '2110732'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWVuV87wUBNwc',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '133075',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hits du Moment',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002ae1cd4ab804bd4c35539dcfb',\n",
       "   'followers': '1598984'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXdwmD5Q7Gxah',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '129083',\n",
       "   'dateAdded': '2020-02-11',\n",
       "   'title': 'Lorem',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020277c9d4e9fd62e46e9a61a2',\n",
       "   'followers': '543976'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWvvyNmW9V9a',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '127402',\n",
       "   'dateAdded': '2020-02-18',\n",
       "   'title': 'Teen Beats',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000021702fcd0013021933ec5d009',\n",
       "   'followers': '108438'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbNBz9cRCSFkY',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '107711',\n",
       "   'title': 'Philippines Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_PH_DEFAULT.jpg',\n",
       "   'followers': '837969'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbJPcfkRz0wJ0',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '107060',\n",
       "   'title': 'Australia Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_AU_DEFAULT.jpg',\n",
       "   'followers': '737477'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4jP4eebSWR9',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '104005',\n",
       "   'dateAdded': '2020-02-25',\n",
       "   'title': 'Top Hits Deutschland',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002e1af1d3e26cb15f910b8a19a',\n",
       "   'followers': '2068804'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXe3Jzj3uus9u',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '94497',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Trending Tracks',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000273d9ef28d9958d141c4c3baa',\n",
       "   'followers': '285535'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX5WTH49Vcnqp',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '94190',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Front Left',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002b1113e3a43b767df49786281',\n",
       "   'followers': '535309'},\n",
       "  {'uri': 'spotify:playlist:4FLeoROn5GT7n2tZq5XB4V',\n",
       "   'author': 'TikTok',\n",
       "   'listeners': '0',\n",
       "   'streams': '91522',\n",
       "   'dateAdded': '2020-02-14',\n",
       "   'title': 'TikTok Trending',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da8494f1a16d30e23ad795f290e8',\n",
       "   'followers': '149645'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:dailymix',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '91051',\n",
       "   'title': 'Your Daily Mix',\n",
       "   'thumbnailUrl': 'https://s4a.scdn.co/playlist_coverart/daily_mix.jpg',\n",
       "   'followers': '18446744073709551615',\n",
       "   'isPersonalized': True},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLnolsZ8PSNw',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '75374',\n",
       "   'title': 'United Kingdom Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_GB_DEFAULT.jpg',\n",
       "   'followers': '2104941'},\n",
       "  {'uri': 'spotify:playlist:25aExpL7xcWdekX3uJ0PdQ',\n",
       "   'author': 'Patrick',\n",
       "   'listeners': '0',\n",
       "   'streams': '74986',\n",
       "   'dateAdded': '2020-02-15',\n",
       "   'title': ' TikTok Dances 2020',\n",
       "   'thumbnailUrl': 'https://mosaic.scdn.co/300/ab67616d00001e022999d7d2bae1eb1cdcc43677ab67616d00001e02600adbc750285ea1a8da249fab67616d00001e026376adb8412509a697896090ab67616d00001e0282b243023b937fd579a35533',\n",
       "   'followers': '92718'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWuGaVZsglfu',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '71497',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Top Hits Malaysia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002e6eda2cc16a77e13329684e1',\n",
       "   'followers': '280895'},\n",
       "  {'uri': 'spotify:playlist:7wFEdIAin9SERVgudjiNo9',\n",
       "   'author': 'sgareyes',\n",
       "   'listeners': '0',\n",
       "   'streams': '71157',\n",
       "   'dateAdded': '2020-02-12',\n",
       "   'title': 'Death Bed - Powfu',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84a71250c2abf810a8477d5e89',\n",
       "   'followers': '40216'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX2YSAZIuAiB1',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '70501',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Swag!',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002b639f5fd2611ebd2ab90c697',\n",
       "   'followers': '572865'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX0X277P8nU0l',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '65747',\n",
       "   'dateAdded': '2020-03-01',\n",
       "   'title': 'Café / Croissant',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000023724e4a55c5bb7f326ca4213',\n",
       "   'followers': '158700'},\n",
       "  {'uri': 'spotify:playlist:4Ao85ZB0F474SYUelDH1Xi',\n",
       "   'author': 'Promoting Sounds',\n",
       "   'listeners': '0',\n",
       "   'streams': '59205',\n",
       "   'dateAdded': '2020-02-14',\n",
       "   'title': 'Sad Rap',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da848b65787b69f19c4ebe1962b5',\n",
       "   'followers': '237938'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXarRysLJmuju',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '53665',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Pop All Day',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002108309bd568e5c583582d5a0',\n",
       "   'followers': '440272'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DZ06evO3Ec90s',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '53098',\n",
       "   'title': 'This Is Powfu',\n",
       "   'thumbnailUrl': 'https://thisis-images.scdn.co/37i9dQZF1DZ06evO3Ec90s-default.jpg',\n",
       "   'followers': '7097'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbKuaTI1Z1Afx',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '51127',\n",
       "   'title': 'United States Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_US_DEFAULT.jpg',\n",
       "   'followers': '337533'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWTMYgB8TqtmR',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '51051',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Hits idag',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000292fb58f80d71697114c6695c',\n",
       "   'followers': '591362'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4WpYT2fah9c',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '50890',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Déclassé',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000244d1fc6f394ecf90c786e70a',\n",
       "   'followers': '70639'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX5D8j6p4CXZT',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '50277',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Chill af',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/2f32c65607d75f1fdc929278d56ff3c9f2594eb9',\n",
       "   'followers': '118991'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXdEF3AqJpXE3',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '45867',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Top Hits Singapore',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002cd8018a8101f37a3bb98e67f',\n",
       "   'followers': '155565'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:onrepeat',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '42877',\n",
       "   'title': 'On Repeat',\n",
       "   'thumbnailUrl': 'https://daily-mix.scdn.co/covers/on_repeat/PZN_On_Repeat_DEFAULT-en.jpg',\n",
       "   'followers': '18446744073709551615',\n",
       "   'isPersonalized': True},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX64Cx4vTeaRB',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '42779',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Kovimmat hitit juuri nyt',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000216700653a1cd900c7c5cd882',\n",
       "   'followers': '191427'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWUJF24WXSSyO',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '41227',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Hits Hits Hits',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020f710185af6585d8dc4b443c',\n",
       "   'followers': '373890'},\n",
       "  {'uri': 'spotify:playlist:3BcBynrGNXjNPwWrVVhggp',\n",
       "   'author': 'mango',\n",
       "   'listeners': '0',\n",
       "   'streams': '38509',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'mood.',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da8438ebe7e9642ce7701984ce25',\n",
       "   'followers': '200666'},\n",
       "  {'uri': 'spotify:playlist:72FdsweCiOlp4BXdRrUq58',\n",
       "   'author': 'Filtr España',\n",
       "   'listeners': '0',\n",
       "   'streams': '34758',\n",
       "   'dateAdded': '2020-02-21',\n",
       "   'title': 'Pop Inglés 🌼 (2020 - 2019 - 2010s) Música En Inglés 2010s ',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da842ae955f2c3dd8acdfbc7866f',\n",
       "   'followers': '103476'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbObFQZ3JLcXt',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '34453',\n",
       "   'title': 'Indonesia Top 50',\n",
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       "   'followers': '203113'},\n",
       "  {'uri': 'spotify:playlist:32hJXySZtt9YvnwcYINGZ0',\n",
       "   'author': 'College Music',\n",
       "   'listeners': '0',\n",
       "   'streams': '10877',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'lofi hip hop / chillhop / beats to study/relax to',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84da609eac32182795fe0e6bc1',\n",
       "   'followers': '129031'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX8OCw6EqwHPA',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '10773',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'softly',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020ab841727e8c5b1a8cc783ff',\n",
       "   'followers': '6396'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX924zU1IARaD',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '10230',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Indie Station',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002a6b68abd5c93e1eeb5199029',\n",
       "   'followers': '52411'},\n",
       "  {'uri': 'spotify:playlist:1NA6Nq3NTiTy0EOtaxhelK',\n",
       "   'author': 'Flows on Flows',\n",
       "   'listeners': '0',\n",
       "   'streams': '9993',\n",
       "   'dateAdded': '2020-02-10',\n",
       "   'title': 'chill rap',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da8472b5b823f69d7eff34e446f3',\n",
       "   'followers': '20864'},\n",
       "  {'uri': 'spotify:playlist:4yeekUmUtpmhWnfQpVLEAP',\n",
       "   'author': 'Slimb',\n",
       "   'listeners': '0',\n",
       "   'streams': '9763',\n",
       "   'dateAdded': '2020-02-12',\n",
       "   'title': 'sade ',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84d03c0e3651e5726c65ed877b',\n",
       "   'followers': '17959'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXd0PFYKeP9rl',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '9628',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Online Juice',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002648bf218a0d0826051ca7a67',\n",
       "   'followers': '4602'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWT2SPAYawYcO',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '9608',\n",
       "   'title': 'New Music Friday AU & NZ',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002ed6f929198b29896257c608a',\n",
       "   'followers': '315054'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbO5MSE9RdfN2',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '9580',\n",
       "   'title': 'Australia Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_AU_DEFAULT.jpg',\n",
       "   'followers': '67409'}],\n",
       " 'playlistOverall': '1020666'}"
      ]
     },
     "execution_count": 532,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topJson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./deathbed_topplaylist_mar3.json', 'w') as fout: \n",
    "    json.dump(topJson, fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': [{'uri': 'spotify:playlist:37i9dQZF1DXcBWIGoYBM5M',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '4636212',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': \"Today's Top Hits\",\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002763a8ee15e2326bee786ae0b',\n",
       "   'followers': '25880039'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWUa8ZRTfalHk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '734774',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Pop Rising',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000029abefad20f333b9931f6187e',\n",
       "   'followers': '1893268'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXcZQSjptOQtk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '627292',\n",
       "   'dateAdded': '2020-02-19',\n",
       "   'title': 'Top Hits Philippines',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000024b747e5c58885e269836d5b8',\n",
       "   'followers': '3720614'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '414478',\n",
       "   'title': 'Global Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_GLOBAL_DEFAULT.jpg',\n",
       "   'followers': '15017361'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:radio',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '393860',\n",
       "   'title': 'Radio',\n",
       "   'thumbnailUrl': 'https://misc.scdn.co/s4x/radio.jpg',\n",
       "   'followers': '18446744073709551615',\n",
       "   'isPersonalized': True},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWhB4HOWKFQc',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '261173',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Lagi Viral',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002f15296b5c632ca55a3060e11',\n",
       "   'followers': '90352'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLiRSasKsNU9',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '233987',\n",
       "   'title': 'Global Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_GLOBAL_DEFAULT.jpg',\n",
       "   'followers': '1602789'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4JAvHpjipBk',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '198705',\n",
       "   'title': 'New Music Friday',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002954e10e34a45a44693bbb939',\n",
       "   'followers': '3674695'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXa2EiKmMLhFD',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '179217',\n",
       "   'dateAdded': '2020-02-25',\n",
       "   'title': 'Top Hits Indonesia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000286be22678ae649acb8d1907d',\n",
       "   'followers': '995633'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWY4lFlS4Pnso',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '178064',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hot Hits UK',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000023781cc0d66ae42bcf98bc6f8',\n",
       "   'followers': '2626983'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWXXs9GFYnvLB',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '171021',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hot Hits Australia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020bbce932e70e88c5e4333cb7',\n",
       "   'followers': '1206600'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLRQDuF5jeBp',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '158575',\n",
       "   'title': 'United States Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_US_DEFAULT.jpg',\n",
       "   'followers': '3242060'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWXT8uSSn6PRy',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '152212',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Hot Hits Canada',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002c12afc68a6c3566f95958416',\n",
       "   'followers': '640736'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWT1y71ZcMPe5',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '137594',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': \"It's a Hit!\",\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000206dda30722de48b3477206e8',\n",
       "   'followers': '2110732'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWVuV87wUBNwc',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '133075',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Hits du Moment',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002ae1cd4ab804bd4c35539dcfb',\n",
       "   'followers': '1598984'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXdwmD5Q7Gxah',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '129083',\n",
       "   'dateAdded': '2020-02-11',\n",
       "   'title': 'Lorem',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020277c9d4e9fd62e46e9a61a2',\n",
       "   'followers': '543976'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWvvyNmW9V9a',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '127402',\n",
       "   'dateAdded': '2020-02-18',\n",
       "   'title': 'Teen Beats',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000021702fcd0013021933ec5d009',\n",
       "   'followers': '108438'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbNBz9cRCSFkY',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '107711',\n",
       "   'title': 'Philippines Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_PH_DEFAULT.jpg',\n",
       "   'followers': '837969'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbJPcfkRz0wJ0',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '107060',\n",
       "   'title': 'Australia Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_AU_DEFAULT.jpg',\n",
       "   'followers': '737477'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4jP4eebSWR9',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '104005',\n",
       "   'dateAdded': '2020-02-25',\n",
       "   'title': 'Top Hits Deutschland',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002e1af1d3e26cb15f910b8a19a',\n",
       "   'followers': '2068804'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXe3Jzj3uus9u',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '94497',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Trending Tracks',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000273d9ef28d9958d141c4c3baa',\n",
       "   'followers': '285535'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX5WTH49Vcnqp',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '94190',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Front Left',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002b1113e3a43b767df49786281',\n",
       "   'followers': '535309'},\n",
       "  {'uri': 'spotify:playlist:4FLeoROn5GT7n2tZq5XB4V',\n",
       "   'author': 'TikTok',\n",
       "   'listeners': '0',\n",
       "   'streams': '91522',\n",
       "   'dateAdded': '2020-02-14',\n",
       "   'title': 'TikTok Trending',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da8494f1a16d30e23ad795f290e8',\n",
       "   'followers': '149645'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:dailymix',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '91051',\n",
       "   'title': 'Your Daily Mix',\n",
       "   'thumbnailUrl': 'https://s4a.scdn.co/playlist_coverart/daily_mix.jpg',\n",
       "   'followers': '18446744073709551615',\n",
       "   'isPersonalized': True},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLnolsZ8PSNw',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '75374',\n",
       "   'title': 'United Kingdom Top 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/REGIONAL_GB_DEFAULT.jpg',\n",
       "   'followers': '2104941'},\n",
       "  {'uri': 'spotify:playlist:25aExpL7xcWdekX3uJ0PdQ',\n",
       "   'author': 'Patrick',\n",
       "   'listeners': '0',\n",
       "   'streams': '74986',\n",
       "   'dateAdded': '2020-02-15',\n",
       "   'title': ' TikTok Dances 2020',\n",
       "   'thumbnailUrl': 'https://mosaic.scdn.co/300/ab67616d00001e022999d7d2bae1eb1cdcc43677ab67616d00001e02600adbc750285ea1a8da249fab67616d00001e026376adb8412509a697896090ab67616d00001e0282b243023b937fd579a35533',\n",
       "   'followers': '92718'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWWuGaVZsglfu',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '71497',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Top Hits Malaysia',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002e6eda2cc16a77e13329684e1',\n",
       "   'followers': '280895'},\n",
       "  {'uri': 'spotify:playlist:7wFEdIAin9SERVgudjiNo9',\n",
       "   'author': 'sgareyes',\n",
       "   'listeners': '0',\n",
       "   'streams': '71157',\n",
       "   'dateAdded': '2020-02-12',\n",
       "   'title': 'Death Bed - Powfu',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84a71250c2abf810a8477d5e89',\n",
       "   'followers': '40216'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX2YSAZIuAiB1',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '70501',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Swag!',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002b639f5fd2611ebd2ab90c697',\n",
       "   'followers': '572865'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX0X277P8nU0l',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '65747',\n",
       "   'dateAdded': '2020-03-01',\n",
       "   'title': 'Café / Croissant',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000023724e4a55c5bb7f326ca4213',\n",
       "   'followers': '158700'},\n",
       "  {'uri': 'spotify:playlist:4Ao85ZB0F474SYUelDH1Xi',\n",
       "   'author': 'Promoting Sounds',\n",
       "   'listeners': '0',\n",
       "   'streams': '59205',\n",
       "   'dateAdded': '2020-02-14',\n",
       "   'title': 'Sad Rap',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da848b65787b69f19c4ebe1962b5',\n",
       "   'followers': '237938'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXarRysLJmuju',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '53665',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Pop All Day',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002108309bd568e5c583582d5a0',\n",
       "   'followers': '440272'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DZ06evO3Ec90s',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '53098',\n",
       "   'title': 'This Is Powfu',\n",
       "   'thumbnailUrl': 'https://thisis-images.scdn.co/37i9dQZF1DZ06evO3Ec90s-default.jpg',\n",
       "   'followers': '7097'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbKuaTI1Z1Afx',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '51127',\n",
       "   'title': 'United States Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_US_DEFAULT.jpg',\n",
       "   'followers': '337533'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWTMYgB8TqtmR',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '51051',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Hits idag',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000292fb58f80d71697114c6695c',\n",
       "   'followers': '591362'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX4WpYT2fah9c',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '50890',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Déclassé',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f0000000244d1fc6f394ecf90c786e70a',\n",
       "   'followers': '70639'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX5D8j6p4CXZT',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '50277',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Chill af',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/2f32c65607d75f1fdc929278d56ff3c9f2594eb9',\n",
       "   'followers': '118991'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXdEF3AqJpXE3',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '45867',\n",
       "   'dateAdded': '2020-02-26',\n",
       "   'title': 'Top Hits Singapore',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002cd8018a8101f37a3bb98e67f',\n",
       "   'followers': '155565'},\n",
       "  {'uri': 'spotify:user:spotify:playlist:onrepeat',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
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       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '13197',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Our Generation',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002359f6eb20aadecffd800fe7f',\n",
       "   'followers': '17830'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbMOkSwG072hV',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '12497',\n",
       "   'title': 'Brazil Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_BR_DEFAULT.jpg',\n",
       "   'followers': '316211'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbJv2Mvelmc3I',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '12463',\n",
       "   'title': 'Philippines Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_PH_DEFAULT.jpg',\n",
       "   'followers': '177191'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXaLvcwjNfHBR',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '11064',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'Coming Up',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000028ef72ec9dfa34fad5aff3b31',\n",
       "   'followers': '4965'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX59NCqCqJtoH',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '11041',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'idk.',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000025f6755807c73eb5f0effb5f0',\n",
       "   'followers': '5712'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbLuUZrygauiA',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '10952',\n",
       "   'title': 'Mexico Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_MX_DEFAULT.jpg',\n",
       "   'followers': '203113'},\n",
       "  {'uri': 'spotify:playlist:32hJXySZtt9YvnwcYINGZ0',\n",
       "   'author': 'College Music',\n",
       "   'listeners': '0',\n",
       "   'streams': '10877',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'lofi hip hop / chillhop / beats to study/relax to',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84da609eac32182795fe0e6bc1',\n",
       "   'followers': '129031'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX8OCw6EqwHPA',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '10773',\n",
       "   'dateAdded': '2020-02-28',\n",
       "   'title': 'softly',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f000000020ab841727e8c5b1a8cc783ff',\n",
       "   'followers': '6396'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DX924zU1IARaD',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '10230',\n",
       "   'dateAdded': '2020-02-27',\n",
       "   'title': 'Indie Station',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002a6b68abd5c93e1eeb5199029',\n",
       "   'followers': '52411'},\n",
       "  {'uri': 'spotify:playlist:1NA6Nq3NTiTy0EOtaxhelK',\n",
       "   'author': 'Flows on Flows',\n",
       "   'listeners': '0',\n",
       "   'streams': '9993',\n",
       "   'dateAdded': '2020-02-10',\n",
       "   'title': 'chill rap',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da8472b5b823f69d7eff34e446f3',\n",
       "   'followers': '20864'},\n",
       "  {'uri': 'spotify:playlist:4yeekUmUtpmhWnfQpVLEAP',\n",
       "   'author': 'Slimb',\n",
       "   'listeners': '0',\n",
       "   'streams': '9763',\n",
       "   'dateAdded': '2020-02-12',\n",
       "   'title': 'sade ',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706c0000da84d03c0e3651e5726c65ed877b',\n",
       "   'followers': '17959'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DXd0PFYKeP9rl',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '9628',\n",
       "   'dateAdded': '2020-03-02',\n",
       "   'title': 'Online Juice',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002648bf218a0d0826051ca7a67',\n",
       "   'followers': '4602'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZF1DWT2SPAYawYcO',\n",
       "   'author': 'Spotify',\n",
       "   'listeners': '0',\n",
       "   'streams': '9608',\n",
       "   'title': 'New Music Friday AU & NZ',\n",
       "   'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002ed6f929198b29896257c608a',\n",
       "   'followers': '315054'},\n",
       "  {'uri': 'spotify:playlist:37i9dQZEVXbO5MSE9RdfN2',\n",
       "   'author': 'spotifycharts',\n",
       "   'listeners': '0',\n",
       "   'streams': '9580',\n",
       "   'title': 'Australia Viral 50',\n",
       "   'thumbnailUrl': 'https://charts-images.scdn.co/VIRAL_AU_DEFAULT.jpg',\n",
       "   'followers': '67409'}],\n",
       " 'playlistOverall': '1020666'}"
      ]
     },
     "execution_count": 366,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topJson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [],
   "source": [
    "top100pl = pd.DataFrame(topJson7['data'])[['streams', 'followers', 'dateAdded', 'title', 'uri', 'isPersonalized']]\n",
    "top100pl['streams'] = top100pl.streams.astype(int)\n",
    "# top100pl['followers'] = top100pl.followers.astype(numpy.int64, errors='ignore')\n",
    "top100pl['dateAdded'] = top100pl.dateAdded.astype(numpy.datetime64, errors='ignore')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [],
   "source": [
    "top100pl['followers'] = top100pl.followers.map(lambda x: -1 if len(x) > 10 else x).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11afcae10>"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top100pl.sort_values('followers', ascending=False).set_index('title').iloc[:10].followers.plot(kind='bar', title='playlist followers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>streams</th>\n",
       "      <th>followers</th>\n",
       "      <th>dateAdded</th>\n",
       "      <th>title</th>\n",
       "      <th>uri</th>\n",
       "      <th>isPersonalized</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4636212</td>\n",
       "      <td>25879121</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>Today's Top Hits</td>\n",
       "      <td>spotify:playlist:37i9dQZF1DXcBWIGoYBM5M</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>734774</td>\n",
       "      <td>1893189</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>Pop Rising</td>\n",
       "      <td>spotify:playlist:37i9dQZF1DWUa8ZRTfalHk</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>627292</td>\n",
       "      <td>3720565</td>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>Top Hits Philippines</td>\n",
       "      <td>spotify:playlist:37i9dQZF1DXcZQSjptOQtk</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>414478</td>\n",
       "      <td>15016889</td>\n",
       "      <td>NaT</td>\n",
       "      <td>Global Top 50</td>\n",
       "      <td>spotify:playlist:37i9dQZEVXbMDoHDwVN2tF</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>393860</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaT</td>\n",
       "      <td>Radio</td>\n",
       "      <td>spotify:user:spotify:playlist:radio</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>9993</td>\n",
       "      <td>20855</td>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>chill rap</td>\n",
       "      <td>spotify:playlist:1NA6Nq3NTiTy0EOtaxhelK</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>9763</td>\n",
       "      <td>17919</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>sade</td>\n",
       "      <td>spotify:playlist:4yeekUmUtpmhWnfQpVLEAP</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>9628</td>\n",
       "      <td>4551</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>Online Juice</td>\n",
       "      <td>spotify:playlist:37i9dQZF1DXd0PFYKeP9rl</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>9608</td>\n",
       "      <td>315056</td>\n",
       "      <td>NaT</td>\n",
       "      <td>New Music Friday AU &amp; NZ</td>\n",
       "      <td>spotify:playlist:37i9dQZF1DWT2SPAYawYcO</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>9580</td>\n",
       "      <td>67407</td>\n",
       "      <td>NaT</td>\n",
       "      <td>Australia Viral 50</td>\n",
       "      <td>spotify:playlist:37i9dQZEVXbO5MSE9RdfN2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>99 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    streams  followers  dateAdded                     title  \\\n",
       "0   4636212   25879121 2020-03-02          Today's Top Hits   \n",
       "1    734774    1893189 2020-03-02                Pop Rising   \n",
       "2    627292    3720565 2020-02-19      Top Hits Philippines   \n",
       "3    414478   15016889        NaT             Global Top 50   \n",
       "4    393860         -1        NaT                     Radio   \n",
       "..      ...        ...        ...                       ...   \n",
       "94     9993      20855 2020-02-10                 chill rap   \n",
       "95     9763      17919 2020-02-12                     sade    \n",
       "96     9628       4551 2020-03-02              Online Juice   \n",
       "97     9608     315056        NaT  New Music Friday AU & NZ   \n",
       "98     9580      67407        NaT        Australia Viral 50   \n",
       "\n",
       "                                        uri isPersonalized  \n",
       "0   spotify:playlist:37i9dQZF1DXcBWIGoYBM5M            NaN  \n",
       "1   spotify:playlist:37i9dQZF1DWUa8ZRTfalHk            NaN  \n",
       "2   spotify:playlist:37i9dQZF1DXcZQSjptOQtk            NaN  \n",
       "3   spotify:playlist:37i9dQZEVXbMDoHDwVN2tF            NaN  \n",
       "4       spotify:user:spotify:playlist:radio           True  \n",
       "..                                      ...            ...  \n",
       "94  spotify:playlist:1NA6Nq3NTiTy0EOtaxhelK            NaN  \n",
       "95  spotify:playlist:4yeekUmUtpmhWnfQpVLEAP            NaN  \n",
       "96  spotify:playlist:37i9dQZF1DXd0PFYKeP9rl            NaN  \n",
       "97  spotify:playlist:37i9dQZF1DWT2SPAYawYcO            NaN  \n",
       "98  spotify:playlist:37i9dQZEVXbO5MSE9RdfN2            NaN  \n",
       "\n",
       "[99 rows x 6 columns]"
      ]
     },
     "execution_count": 285,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top100pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [],
   "source": [
    "str1 = top100pl.iloc[:TOP].set_index('title').streams.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [],
   "source": [
    "str1['Other Playlists'] = top100pl.iloc[TOP:].streams.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Today's Top Hits        2194485\n",
       "Global Top 50            390737\n",
       "Top Hits Philippines     356858\n",
       "Pop Rising               236907\n",
       "Top Hits Indonesia       179217\n",
       "Radio                    170336\n",
       "Hits du Moment           133075\n",
       "Lagi Viral               112388\n",
       "Hot Hits Australia       112323\n",
       "Top Hits Deutschland     104005\n",
       "Other Playlists         1898678\n",
       "Name: streams, dtype: int64"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [404]>"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "requests.get(\n",
    "        ('https://generic.wg.spotify.com/s4x-insights-api/v1'\n",
    "         '/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/timeline/playlists'\n",
    "         f'?time-filter=28day&aggregation-level=recording'),\n",
    "        headers=headers\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20118634463643134"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "6944034 / 34515434"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apollo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [],
   "source": [
    "playlistsToday = pd.read_csv('/Users/joel/Downloads/Current Playlists - Powfu, beabadoobee - death bed (feat. beabadoobee).csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Personalized?</th>\n",
       "      <th>Music Service</th>\n",
       "      <th>Worldwide Track Streams 7 Days</th>\n",
       "      <th>Market Track Streams 7 Days</th>\n",
       "      <th>Worldwide Playlist Streams 7 Days</th>\n",
       "      <th>Market Playlist Streams 7 Days</th>\n",
       "      <th>Position</th>\n",
       "      <th>Added</th>\n",
       "      <th>Owner Market</th>\n",
       "      <th>Owner Category</th>\n",
       "      <th>Owner Account</th>\n",
       "      <th>Playlist Link</th>\n",
       "      <th>Followers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Today's Top Hits</td>\n",
       "      <td>NO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2112667.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34689903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>US</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25874894.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hits du Moment</td>\n",
       "      <td>NO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109518.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3540873</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>FR</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1598617.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Top Hits Philippines</td>\n",
       "      <td>NO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355867.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4032045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>PH</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3719445.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hot Hits UK</td>\n",
       "      <td>NO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88936.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3005781</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>GB</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2626387.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pop Rising</td>\n",
       "      <td>NO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>252575.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2684491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>US</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>Spotify</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1892808.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>Hits Lige Nu</td>\n",
       "      <td>NO</td>\n",
       "      <td>Apple Music</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DK</td>\n",
       "      <td>Sony</td>\n",
       "      <td>1058565310</td>\n",
       "      <td>https://itunes.apple.com/us/playlist/pl.ec8712...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>Sad Music ? when i'm sad and have a mental bre...</td>\n",
       "      <td>NO</td>\n",
       "      <td>Apple Music</td>\n",
       "      <td>206.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DK</td>\n",
       "      <td>Sony</td>\n",
       "      <td>1058565310</td>\n",
       "      <td>https://itunes.apple.com/us/playlist/pl.ed1290...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>Today's Hits</td>\n",
       "      <td>NO</td>\n",
       "      <td>Apple Music</td>\n",
       "      <td>203213.0</td>\n",
       "      <td>201812.0</td>\n",
       "      <td>2356000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Apple Curators</td>\n",
       "      <td>Apple Music Pop</td>\n",
       "      <td>https://itunes.apple.com/us/playlist/pl.f4d106...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>Life is music — StuBru</td>\n",
       "      <td>NO</td>\n",
       "      <td>Apple Music</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>105</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1144180401</td>\n",
       "      <td>https://itunes.apple.com/us/playlist/pl.fbc0dc...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>Rap Today!</td>\n",
       "      <td>NO</td>\n",
       "      <td>Apple Music</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1058566277</td>\n",
       "      <td>https://itunes.apple.com/us/playlist/pl.fd0e8e...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>485 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Name Personalized?  \\\n",
       "0                                     Today's Top Hits            NO   \n",
       "1                                       Hits du Moment            NO   \n",
       "2                                 Top Hits Philippines            NO   \n",
       "3                                          Hot Hits UK            NO   \n",
       "4                                           Pop Rising            NO   \n",
       "..                                                 ...           ...   \n",
       "480                                       Hits Lige Nu            NO   \n",
       "481  Sad Music ? when i'm sad and have a mental bre...            NO   \n",
       "482                                       Today's Hits            NO   \n",
       "483                             Life is music — StuBru            NO   \n",
       "484                                         Rap Today!            NO   \n",
       "\n",
       "    Music Service  Worldwide Track Streams 7 Days  \\\n",
       "0             NaN                       2112667.0   \n",
       "1             NaN                        109518.0   \n",
       "2             NaN                        355867.0   \n",
       "3             NaN                         88936.0   \n",
       "4             NaN                        252575.0   \n",
       "..            ...                             ...   \n",
       "480   Apple Music                            62.0   \n",
       "481   Apple Music                           206.0   \n",
       "482   Apple Music                        203213.0   \n",
       "483   Apple Music                            20.0   \n",
       "484   Apple Music                             1.0   \n",
       "\n",
       "     Market Track Streams 7 Days  Worldwide Playlist Streams 7 Days  \\\n",
       "0                            0.0                           34689903   \n",
       "1                            0.0                            3540873   \n",
       "2                            0.0                            4032045   \n",
       "3                            0.0                            3005781   \n",
       "4                            0.0                            2684491   \n",
       "..                           ...                                ...   \n",
       "480                          0.0                                637   \n",
       "481                          0.0                                990   \n",
       "482                     201812.0                            2356000   \n",
       "483                          0.0                                105   \n",
       "484                          0.0                                 39   \n",
       "\n",
       "     Market Playlist Streams 7 Days  Position       Added Owner Market  \\\n",
       "0                               NaN      18.0  2020-02-14           US   \n",
       "1                               NaN      45.0  2020-02-27           FR   \n",
       "2                               NaN      27.0  2020-02-19           PH   \n",
       "3                               NaN      43.0  2020-02-17           GB   \n",
       "4                               NaN      13.0  2020-02-12           US   \n",
       "..                              ...       ...         ...          ...   \n",
       "480                             NaN       NaN         NaN           DK   \n",
       "481                             NaN       NaN         NaN           DK   \n",
       "482                             NaN       NaN         NaN           US   \n",
       "483                             NaN       NaN         NaN           US   \n",
       "484                             NaN       NaN         NaN           US   \n",
       "\n",
       "     Owner Category    Owner Account  \\\n",
       "0           Spotify          Spotify   \n",
       "1           Spotify          Spotify   \n",
       "2           Spotify          Spotify   \n",
       "3           Spotify          Spotify   \n",
       "4           Spotify          Spotify   \n",
       "..              ...              ...   \n",
       "480            Sony       1058565310   \n",
       "481            Sony       1058565310   \n",
       "482  Apple Curators  Apple Music Pop   \n",
       "483             NaN       1144180401   \n",
       "484             NaN       1058566277   \n",
       "\n",
       "                                         Playlist Link   Followers  \n",
       "0                                                  NaN  25874894.0  \n",
       "1                                                  NaN   1598617.0  \n",
       "2                                                  NaN   3719445.0  \n",
       "3                                                  NaN   2626387.0  \n",
       "4                                                  NaN   1892808.0  \n",
       "..                                                 ...         ...  \n",
       "480  https://itunes.apple.com/us/playlist/pl.ec8712...         NaN  \n",
       "481  https://itunes.apple.com/us/playlist/pl.ed1290...         NaN  \n",
       "482  https://itunes.apple.com/us/playlist/pl.f4d106...         NaN  \n",
       "483  https://itunes.apple.com/us/playlist/pl.fbc0dc...         NaN  \n",
       "484  https://itunes.apple.com/us/playlist/pl.fd0e8e...         NaN  \n",
       "\n",
       "[485 rows x 14 columns]"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "playlistsToday['']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {},
   "outputs": [],
   "source": [
    "export1 = '''\n",
    "'https://apollo.stream/export'\n",
    "-H 'authority: apollo.stream'\n",
    "-H 'cache-control: max-age=0' \n",
    "-H 'origin: https://apollo.stream' \n",
    "-H 'upgrade-insecure-requests: 1' \n",
    "-H 'content-type: application/x-www-form-urlencoded' \n",
    "-H 'user-agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36' -H 'sec-fetch-dest: document' -H 'accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9' \n",
    "-H 'sec-fetch-site: same-origin' \n",
    "-H 'sec-fetch-mode: navigate' \n",
    "-H 'sec-fetch-user: ?1' \n",
    "-H 'referer: https://apollo.stream/spotify/playlist/37i9dQZEVXbMDoHDwVN2tF' \n",
    "-H 'accept-language: en-GB,en-US;q=0.9,en;q=0.8' \n",
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22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3Anull%2C%22Tracks+in+Playlist%22%3Anull%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%2C%7B%22Date%22%3A%222020-02-22%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3Anull%2C%22Tracks+in+Playlist%22%3Anull%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%2C%7B%22Date%22%3A%222020-02-23%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3Anull%2C%22Tracks+in+Playlist%22%3Anull%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%2C%7B%22Date%22%3A%222020-02-24%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3Anull%2C%22Tracks+in+Playlist%22%3Anull%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%2C%7B%22Date%22%3A%222020-02-25%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A47%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A27%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-02-26%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A47%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A28%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-02-27%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A41%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A26%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-02-28%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A35%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A26%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-02-29%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A34%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A26%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-03-01%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A36%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3A26%2C%22Market+Streams%22%3A0%7D%2C%7B%22Date%22%3A%222020-03-02%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3Anull%2C%22Tracks+in+Playlist%22%3Anull%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%2C%7B%22Date%22%3A%222020-03-03%22%2C%22Artists%22%3A%22Powfu%2C+beabadoobee%22%2C%22Track+Name%22%3A%22death+bed+%28feat.+beabadoobee%29%22%2C%22Track+URI%22%3A%22spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx%22%2C%22Playlist+Name%22%3A%22Global+Top+50%22%2C%22Playlist+URI%22%3A%22spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF%22%2C%22Position%22%3A36%2C%22Tracks+in+Playlist%22%3A50%2C%22Worldwide+Streams%22%3Anull%2C%22Market+Streams%22%3Anull%7D%5D%2C%22filename%22%3A%22Playlist+Position+-+death+bed+%28feat.+beabadoobee%29+-+Global+Top+50.csv%22%7D' \n",
    "--compressed'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {},
   "outputs": [],
   "source": [
    "playlistPositions1 = '''\n",
    "'https://privateapi-auth0.filtr.com/playlisttrackgraph/position?playlistURI=spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF&trackURI=spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx&startDate=2020-02-25&endDate=2020-03-03'\n",
    "-H 'authority: privateapi-auth0.filtr.com' \n",
    "-H 'user-agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36' \n",
    "-H 'sec-fetch-dest: empty' \n",
    "-H 'authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6Ik5rSTBNRVpGT0RkR05VSTBORGs1T0RFME9EUXdNRUZFUmtKRk9VVXlNREJEUmpZM05rWkVRdyJ9.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.MU4YXTAZK7KPq58cZ2oBrWRRvFsuiqIVmfiqiOGWE7SZRDp5tJrP9UnqyouWQzXaH401RCuvLqaHDkJIplMqH56unO_YGXbK-D82TJTkdhKfaJ9mryCA7LiLyWu8AmJ1v29AHNRo1kjMOGihxe7eMpgl47ow0KhR6RYXMfTrOUCiTg7JfeWnBpC69ZhHNmwn7Ap6YjG5fHnxa88bama_oJF5Wji6Y7DOofDsx2mquE0AnaWsHNcWSaV7ofPL_ypNUzg2IjtPSVLaxg24jPgSLsA4umJhlWIyRVFiSQlc0qYM2XSEYLVsqYJjQUY1o0TYlgTOHBiZAYRGPEGk7HYpxA' \n",
    "-H 'accept: */*' \n",
    "-H 'origin: https://apollo.stream' \n",
    "-H 'sec-fetch-site: cross-site' \n",
    "-H 'sec-fetch-mode: cors' \n",
    "-H 'referer: https://apollo.stream/spotify/playlist/37i9dQZEVXbMDoHDwVN2tF' \n",
    "-H 'accept-language: en-GB,en-US;q=0.9,en;q=0.8' \n",
    "--compressed\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [],
   "source": [
    "header = {\n",
    " 'authority': 'privateapi-auth0.filtr.com',\n",
    " 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36',\n",
    " 'sec-fetch-dest': 'empty',\n",
    " 'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6Ik5rSTBNRVpGT0RkR05VSTBORGs1T0RFME9EUXdNRUZFUmtKRk9VVXlNREJEUmpZM05rWkVRdyJ9.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.MU4YXTAZK7KPq58cZ2oBrWRRvFsuiqIVmfiqiOGWE7SZRDp5tJrP9UnqyouWQzXaH401RCuvLqaHDkJIplMqH56unO_YGXbK-D82TJTkdhKfaJ9mryCA7LiLyWu8AmJ1v29AHNRo1kjMOGihxe7eMpgl47ow0KhR6RYXMfTrOUCiTg7JfeWnBpC69ZhHNmwn7Ap6YjG5fHnxa88bama_oJF5Wji6Y7DOofDsx2mquE0AnaWsHNcWSaV7ofPL_ypNUzg2IjtPSVLaxg24jPgSLsA4umJhlWIyRVFiSQlc0qYM2XSEYLVsqYJjQUY1o0TYlgTOHBiZAYRGPEGk7HYpxA',\n",
    " 'accept': '*/*',\n",
    " 'origin': 'https://apollo.stream',\n",
    " 'sec-fetch-site': 'cross-site',\n",
    " 'sec-fetch-mode': 'cors',\n",
    " 'referer': 'https://apollo.stream/spotify/playlist/37i9dQZEVXbMDoHDwVN2tF',\n",
    " 'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = requests.get('https://privateapi-auth0.filtr.com/playlisttrackgraph/position?playlistURI=spotify%3Aplaylist%3A37i9dQZEVXbMDoHDwVN2tF&trackURI=spotify%3Atrack%3A7eJMfftS33KTjuF7lTsMCx&startDate=2020-02-03&endDate=2020-03-03', headers=header)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'series': [{'entries': [{'date': '2020-02-25T10:19:32Z',\n",
       "     'position': 47,\n",
       "     'trackCount': 50},\n",
       "    {'date': '2020-02-26T10:00:37Z', 'position': 47, 'trackCount': 50},\n",
       "    {'date': '2020-02-27T09:56:46Z', 'position': 41, 'trackCount': 50},\n",
       "    {'date': '2020-02-28T11:45:45Z', 'position': 35, 'trackCount': 50},\n",
       "    {'date': '2020-02-29T09:42:50Z', 'position': 34, 'trackCount': 50},\n",
       "    {'date': '2020-03-01T11:46:00Z', 'position': 36, 'trackCount': 50},\n",
       "    {'date': '2020-03-03T11:46:35Z', 'position': 36, 'trackCount': 50}]}]}"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [],
   "source": [
    "from urllib.parse import unquote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'content-type': 'text/csv;+charset=utf-8',\n",
       " 'data': [{'Date': '2020-01-08',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-09',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-10',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-11',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-12',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-13',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-14',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-15',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-16',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-17',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-18',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-19',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-20',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-21',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-22',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-23',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-24',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-25',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-26',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-27',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-28',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-29',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-30',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-01-31',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-01',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-02',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-03',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-04',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-05',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-06',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-07',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-08',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-09',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-10',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-11',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-12',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-13',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-14',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-15',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-16',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-17',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-18',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-19',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-20',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-21',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-22',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-23',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-24',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-02-25',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 47,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 27,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-02-26',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 47,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 28,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-02-27',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 41,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 26,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-02-28',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 35,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 26,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-02-29',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 34,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 26,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-03-01',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 36,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': 26,\n",
       "   'Market+Streams': 0},\n",
       "  {'Date': '2020-03-02',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': None,\n",
       "   'Tracks+in+Playlist': None,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None},\n",
       "  {'Date': '2020-03-03',\n",
       "   'Artists': 'Powfu,+beabadoobee',\n",
       "   'Track+Name': 'death+bed+(feat.+beabadoobee)',\n",
       "   'Track+URI': 'spotify:track:7eJMfftS33KTjuF7lTsMCx',\n",
       "   'Playlist+Name': 'Global+Top+50',\n",
       "   'Playlist+URI': 'spotify:playlist:37i9dQZEVXbMDoHDwVN2tF',\n",
       "   'Position': 36,\n",
       "   'Tracks+in+Playlist': 50,\n",
       "   'Worldwide+Streams': None,\n",
       "   'Market+Streams': None}],\n",
       " 'filename': 'Playlist+Position+-+death+bed+(feat.+beabadoobee)+-+Global+Top+50.csv'}"
      ]
     },
     "execution_count": 319,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json.loads(unquote(postData.split('=')[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [],
   "source": [
    "r2 = requests.get(\n",
    "    \"https://privateapi-auth0.filtr.com/spotifyplaylistswithtrack?trackID=7eJMfftS33KTjuF7lTsMCx&limit=50\", \n",
    "   headers=header\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['spotify:playlist:37i9dQZF1DXcBWIGoYBM5M', 17, 50],\n",
       " ['spotify:playlist:37i9dQZF1DWVuV87wUBNwc', 44, 50],\n",
       " ['spotify:playlist:37i9dQZF1DXcZQSjptOQtk', 3, 40],\n",
       " ['spotify:playlist:37i9dQZF1DWY4lFlS4Pnso', 42, 70],\n",
       " ['spotify:playlist:37i9dQZF1DWUa8ZRTfalHk', 12, 80],\n",
       " ['spotify:playlist:37i9dQZF1DXa2EiKmMLhFD', 35, 41],\n",
       " ['spotify:playlist:37i9dQZF1DX4jP4eebSWR9', 18, 50],\n",
       " ['spotify:playlist:72FdsweCiOlp4BXdRrUq58', 17, 130],\n",
       " ['spotify:playlist:37i9dQZF1DWXXs9GFYnvLB', 10, 50],\n",
       " ['spotify:playlist:37i9dQZF1DWTMYgB8TqtmR', 45, 51],\n",
       " ['spotify:playlist:37i9dQZF1DWT1y71ZcMPe5', 35, 49],\n",
       " ['spotify:playlist:37i9dQZF1DWXT8uSSn6PRy', 0, 60],\n",
       " ['spotify:playlist:37i9dQZF1DWWhB4HOWKFQc', 1, 85],\n",
       " ['spotify:playlist:55lCjEKHyrO3wpLYD8Ktdo', 89, 139],\n",
       " ['spotify:playlist:37i9dQZF1DWWvvyNmW9V9a', 0, 99],\n",
       " ['spotify:playlist:37i9dQZF1DWUJF24WXSSyO', 38, 50],\n",
       " ['spotify:playlist:7aRkIB2UvssMbJyzOH8nST', 32, 100],\n",
       " ['spotify:playlist:37i9dQZF1DX68x6hand0cN', 56, 200],\n",
       " ['spotify:playlist:0njnvMkgsTb0wL8BFDwAGS', 18, 74],\n",
       " ['spotify:playlist:0PzTB0SzhsYdmq3lvb0zgv', 15, 100],\n",
       " ['spotify:playlist:37i9dQZF1DX2YSAZIuAiB1', 2, 60],\n",
       " ['spotify:playlist:37i9dQZF1DWWuGaVZsglfu', 18, 48],\n",
       " ['spotify:playlist:37i9dQZF1DXdEF3AqJpXE3', 10, 48],\n",
       " ['spotify:playlist:4e36iSHdNaSDaIfOKmCvXd', 125, 130],\n",
       " ['spotify:playlist:37i9dQZF1DXdwmD5Q7Gxah', 7, 107],\n",
       " ['spotify:playlist:37i9dQZF1DX64Cx4vTeaRB', 27, 51],\n",
       " ['spotify:playlist:37i9dQZF1DXe3Jzj3uus9u', 12, 66],\n",
       " ['spotify:playlist:37i9dQZF1DXarRysLJmuju', 3, 65],\n",
       " ['spotify:playlist:0OtdLZ5JVyqB4Zp8aylECe', 22, 100],\n",
       " ['spotify:playlist:37i9dQZF1DX0X277P8nU0l', 2, 50],\n",
       " ['spotify:playlist:37i9dQZF1DX5WTH49Vcnqp', 0, 100],\n",
       " ['spotify:playlist:37i9dQZF1DX5D8j6p4CXZT', 0, 80],\n",
       " ['spotify:playlist:3mn4kXt07PEGZFR46h3HhN', 16, 101],\n",
       " ['spotify:playlist:2aDtvLivFSrIiQDlet0MRu', 39, 60],\n",
       " ['spotify:playlist:37i9dQZF1DXayDMsJG9ZBv', 24, 50],\n",
       " ['spotify:playlist:6TGxmQCgNUC3Q4OvmFO3Sd', 19, 101],\n",
       " ['spotify:playlist:756n3wuuojzl9akaNYyBbY', 5, 74],\n",
       " ['spotify:playlist:37i9dQZF1DWY5Nosj13GLt', 7, 50],\n",
       " ['spotify:playlist:37i9dQZF1DX9vYRBO9gjDe', 21, 50],\n",
       " ['spotify:playlist:37i9dQZF1DX4KeocBrdbJg', 7, 60],\n",
       " ['spotify:playlist:6wjCvkAFovrVIRM8VfZLZG', 36, 100],\n",
       " ['spotify:playlist:4Yi2WJOQdlYVMAtoVjDuyU', 16, 91],\n",
       " ['spotify:playlist:7oUv7Y6W998fPLrPEU5DVE', 13, 188],\n",
       " ['spotify:playlist:3lwTT94AOmslAMqdPhNge7', 27, 95],\n",
       " ['spotify:playlist:37i9dQZF1DX2iUp2zRnhtp', 37, 85],\n",
       " ['spotify:playlist:37i9dQZF1DX4WpYT2fah9c', 3, 50],\n",
       " ['spotify:playlist:2K8yefvBUtiZNidagTIeca', 9, 65],\n",
       " ['spotify:playlist:0DOnlxS9lopYhlh7VG5KMu', 8, 100],\n",
       " ['spotify:playlist:37i9dQZF1DX0MD19TXm0aV', 30, 50],\n",
       " ['spotify:playlist:37i9dQZF1DX0F4i7Q9pshJ', 16, 55]]"
      ]
     },
     "execution_count": 357,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(r2.json()['items'])[['spotifyLink', 'position', 'trackCount']].to_dict('split')['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {},
   "outputs": [],
   "source": [
    "positionsAndTotals = {pl['spotifyLink'].split(':')[-1]: (pl['position'], pl['trackCount']) for pl in r2.json()['items']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [],
   "source": [
    "apolloAccessToken = 'eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6Ik5rSTBNRVpGT0RkR05VSTBORGs1T0RFME9EUXdNRUZFUmtKRk9VVXlNREJEUmpZM05rWkVRdyJ9.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.MU4YXTAZK7KPq58cZ2oBrWRRvFsuiqIVmfiqiOGWE7SZRDp5tJrP9UnqyouWQzXaH401RCuvLqaHDkJIplMqH56unO_YGXbK-D82TJTkdhKfaJ9mryCA7LiLyWu8AmJ1v29AHNRo1kjMOGihxe7eMpgl47ow0KhR6RYXMfTrOUCiTg7JfeWnBpC69ZhHNmwn7Ap6YjG5fHnxa88bama_oJF5Wji6Y7DOofDsx2mquE0AnaWsHNcWSaV7ofPL_ypNUzg2IjtPSVLaxg24jPgSLsA4umJhlWIyRVFiSQlc0qYM2XSEYLVsqYJjQUY1o0TYlgTOHBiZAYRGPEGk7HYpxA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 445,
   "metadata": {},
   "outputs": [],
   "source": [
    "apolloAccessToken = 'eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6Ik5rSTBNRVpGT0RkR05VSTBORGs1T0RFME9EUXdNRUZFUmtKRk9VVXlNREJEUmpZM05rWkVRdyJ9.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.hOF6Xi7NfKs694Ik4sV8ma8vZeaf3aZmM-MRUzRtOSwcZfQhLt_LA9WP7HYQGU_EQDbVyYoRthOdYk6CaNkGOemErjqvs_G1b4P8csD2xoOZXt1l2MpiCTPxe6BEuVkaa0O0nR0fpuEWAaicdBjvVRJERU7c2VtrTHE-cAj5s9gRnutD4iJEn-T4mA-xJjOgiD65aWuRrXYqaeIkEHZmXn-JJ39FSMwCVL3ZDDsDM2Yo7hjplI4n-PJkVB9MyCP1iHeJdZ0w4wq6r5Ll7BTZhn7amJfcD4tEh5WqHMjhyhr5FzpmPr4AddKGyzKsQYDzJqIh4hTRELeeR5YQQV-4LQ'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 474,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_todays_playlist_positions_apollo():\n",
    "    header = {\n",
    "        'authority': 'privateapi-auth0.filtr.com',\n",
    "        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36',\n",
    "        'sec-fetch-dest': 'empty',\n",
    "        'authorization': f'Bearer {apolloAccessToken}',\n",
    "        'accept': '*/*',\n",
    "        'origin': 'https://apollo.stream',\n",
    "        'sec-fetch-site': 'cross-site',\n",
    "        'sec-fetch-mode': 'cors',\n",
    "        'referer': 'https://apollo.stream/spotify/playlist/37i9dQZEVXbMDoHDwVN2tF',\n",
    "        'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8'\n",
    "    }\n",
    "    r1 = requests.get(\n",
    "        \"https://privateapi-auth0.filtr.com/spotifyplaylistswithtrack?trackID=7eJMfftS33KTjuF7lTsMCx&limit=200\", \n",
    "        headers=header\n",
    "    );\n",
    "    import time; time.sleep(1)\n",
    "    r2 = requests.get(\n",
    "        \"https://privateapi-auth0.filtr.com/spotifyplaylistswithtrack?trackID=7eJMfftS33KTjuF7lTsMCx&limit=200&offset=200\", \n",
    "        headers=header\n",
    "    );\n",
    "    d1 = {pl['spotifyLink'].split(':')[-1]: (pl['position'], pl['trackCount'], pl['countryCode']) for pl in r1.json()['items']}\n",
    "    d1.update({pl['spotifyLink'].split(':')[-1]: (pl['position'], pl['trackCount'], pl['countryCode'], pl['earliestAdded'], pl['tracksLastAdded']) for pl in r2.json()['items']})                                                                              \n",
    "    return d1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 475,
   "metadata": {},
   "outputs": [],
   "source": [
    "allApollo = get_todays_playlist_positions_apollo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "400"
      ]
     },
     "execution_count": 459,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 446,
   "metadata": {},
   "outputs": [],
   "source": [
    "header = {\n",
    "    'authority': 'privateapi-auth0.filtr.com',\n",
    "    'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.116 Safari/537.36',\n",
    "    'sec-fetch-dest': 'empty',\n",
    "    'authorization': f'Bearer {apolloAccessToken}',\n",
    "    'accept': '*/*',\n",
    "    'origin': 'https://apollo.stream',\n",
    "    'sec-fetch-site': 'cross-site',\n",
    "    'sec-fetch-mode': 'cors',\n",
    "    'referer': 'https://apollo.stream/spotify/playlist/37i9dQZEVXbMDoHDwVN2tF',\n",
    "    'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8'\n",
    "}\n",
    "r3 = requests.get(\n",
    "    \"https://privateapi-auth0.filtr.com/spotifyplaylistswithtrack?trackID=7eJMfftS33KTjuF7lTsMCx&limit=200&offset=200\", \n",
    "    headers=header\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 448,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'items': [{'position': 15,\n",
       "   'added': '2020-02-28T20:20:06Z',\n",
       "   'earliestAdded': '2020-02-28T20:20:06Z',\n",
       "   'owner': {'accountName': 'Topsify Canada',\n",
       "    'accountId': 'playlistmecanada',\n",
       "    'categoryId': 3,\n",
       "    'categoryName': 'Warner',\n",
       "    'marketCode': 'ca'},\n",
       "   'localStreams56Days': 2969,\n",
       "   'localStreams28Days': 1482,\n",
       "   'localStreams14Days': 728,\n",
       "   'localStreams7Days': 480,\n",
       "   'localStreamsLatest': 263,\n",
       "   'localUsers56Days': 1182,\n",
       "   'localUsers28Days': 583,\n",
       "   'localUsers14Days': 327,\n",
       "   'localUsers7Days': 214,\n",
       "   'localUsersLatest': 114,\n",
       "   'localStreamsPerUser56Days': 169.2578940142779,\n",
       "   'localStreamsPerUser28Days': 45.35121279235767,\n",
       "   'localStreamsPerUser14Days': 36.73986282330192,\n",
       "   'localStreamsPerUser7Days': 27.20806684547143,\n",
       "   'localStreamsPerUserLatest': 174.4055944055944,\n",
       "   'globalStreams56Days': 2969,\n",
       "   'globalStreams28Days': 1482,\n",
       "   'globalStreams14Days': 728,\n",
       "   'globalStreams7Days': 480,\n",
       "   'globalStreamsLatest': 263,\n",
       "   'globalUsers56Days': 1182,\n",
       "   'globalUsers28Days': 583,\n",
       "   'globalUsers14Days': 327,\n",
       "   'globalUsers7Days': 214,\n",
       "   'globalUsersLatest': 114,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 25230,\n",
       "   'subscribers7Days': 25241,\n",
       "   'subscribers14Days': 23106,\n",
       "   'subscribers28Days': 22873,\n",
       "   'subscribers56Days': 22979,\n",
       "   'positionChange': None,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': None,\n",
       "   'name': \"Today's Pop\",\n",
       "   'imageFileName': 'playlist-0ClLP96BJ6JDBTsOJdqya7.jpeg',\n",
       "   'countryCode': 'ca',\n",
       "   'trackCount': 55,\n",
       "   'subscribers': 25231,\n",
       "   'spotifyLink': 'spotify:playlist:0ClLP96BJ6JDBTsOJdqya7',\n",
       "   'tracksLastAdded': '2020-02-28T20:20:06Z',\n",
       "   'public': True},\n",
       "  {'position': 29,\n",
       "   'added': '2020-02-14T09:11:06Z',\n",
       "   'earliestAdded': '2020-02-14T09:11:06Z',\n",
       "   'owner': {'accountName': 'Filtr Norway',\n",
       "    'accountId': 'sonymusic',\n",
       "    'categoryId': 1,\n",
       "    'categoryName': 'Sony',\n",
       "    'marketCode': 'no'},\n",
       "   'localStreams56Days': 1660,\n",
       "   'localStreams28Days': 1437,\n",
       "   'localStreams14Days': 407,\n",
       "   'localStreams7Days': 0,\n",
       "   'localStreamsLatest': 263,\n",
       "   'localUsers56Days': 240,\n",
       "   'localUsers28Days': 214,\n",
       "   'localUsers14Days': 58,\n",
       "   'localUsers7Days': 0,\n",
       "   'localUsersLatest': 37,\n",
       "   'localStreamsPerUser56Days': 215.74519230769232,\n",
       "   'localStreamsPerUser28Days': 24.74519230769231,\n",
       "   'localStreamsPerUser14Days': 13.09090909090909,\n",
       "   'localStreamsPerUser7Days': 0.0,\n",
       "   'localStreamsPerUserLatest': 209.0,\n",
       "   'globalStreams56Days': 1660,\n",
       "   'globalStreams28Days': 1437,\n",
       "   'globalStreams14Days': 407,\n",
       "   'globalStreams7Days': 0,\n",
       "   'globalStreamsLatest': 263,\n",
       "   'globalUsers56Days': 240,\n",
       "   'globalUsers28Days': 214,\n",
       "   'globalUsers14Days': 58,\n",
       "   'globalUsers7Days': 0,\n",
       "   'globalUsersLatest': 37,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 978,\n",
       "   'subscribers7Days': 975,\n",
       "   'subscribers14Days': 980,\n",
       "   'subscribers28Days': 926,\n",
       "   'subscribers56Days': 927,\n",
       "   'positionChange': 5,\n",
       "   'streamDaysInPeriod7Day': 0,\n",
       "   'streamDaysInPeriod14Day': 5,\n",
       "   'streamDaysInPeriod28Day': 9,\n",
       "   'streamDaysInPeriod56Day': 9,\n",
       "   'positionChangeDate': '2020-02-28T01:40:32Z',\n",
       "   'name': 'Ny Musikk 2020',\n",
       "   'imageFileName': 'playlist-2kmWLSmYkR9Bb1hGQuVfJA.jpeg',\n",
       "   'countryCode': 'no',\n",
       "   'trackCount': 62,\n",
       "   'subscribers': 978,\n",
       "   'spotifyLink': 'spotify:playlist:2kmWLSmYkR9Bb1hGQuVfJA',\n",
       "   'tracksLastAdded': '2020-02-28T17:18:02Z',\n",
       "   'public': True},\n",
       "  {'position': 12,\n",
       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '2020-02-20T09:15:09Z',\n",
       "   'owner': {'accountName': 'spotifycharts',\n",
       "    'accountId': 'spotifycharts',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 2974,\n",
       "   'localStreams28Days': 1382,\n",
       "   'localStreams14Days': 591,\n",
       "   'localStreams7Days': 281,\n",
       "   'localStreamsLatest': 131,\n",
       "   'localUsers56Days': 2811,\n",
       "   'localUsers28Days': 1329,\n",
       "   'localUsers14Days': 569,\n",
       "   'localUsers7Days': 267,\n",
       "   'localUsersLatest': 107,\n",
       "   'localStreamsPerUser56Days': 83.54018024784078,\n",
       "   'localStreamsPerUser28Days': 20.03421461897356,\n",
       "   'localStreamsPerUser14Days': 13.03642987249545,\n",
       "   'localStreamsPerUser7Days': 10.05058365758755,\n",
       "   'localStreamsPerUserLatest': 81.56818181818181,\n",
       "   'globalStreams56Days': 2974,\n",
       "   'globalStreams28Days': 1382,\n",
       "   'globalStreams14Days': 591,\n",
       "   'globalStreams7Days': 281,\n",
       "   'globalStreamsLatest': 131,\n",
       "   'globalUsers56Days': 2811,\n",
       "   'globalUsers28Days': 1329,\n",
       "   'globalUsers14Days': 569,\n",
       "   'globalUsers7Days': 267,\n",
       "   'globalUsersLatest': 107,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 737369,\n",
       "   'subscribers7Days': 736258,\n",
       "   'subscribers14Days': 735192,\n",
       "   'subscribers28Days': 733008,\n",
       "   'subscribers56Days': 727776,\n",
       "   'positionChange': -5,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-03-04T09:50:32Z',\n",
       "   'name': 'Australia Top 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbJPcfkRz0wJ0.jpeg',\n",
       "   'countryCode': 'au',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 737531,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbJPcfkRz0wJ0',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
       "   'public': False},\n",
       "  {'position': 35,\n",
       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '2020-02-25T10:20:43Z',\n",
       "   'owner': {'accountName': 'spotifycharts',\n",
       "    'accountId': 'spotifycharts',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 2938,\n",
       "   'localStreams28Days': 1370,\n",
       "   'localStreams14Days': 610,\n",
       "   'localStreams7Days': 308,\n",
       "   'localStreamsLatest': 148,\n",
       "   'localUsers56Days': 2727,\n",
       "   'localUsers28Days': 1304,\n",
       "   'localUsers14Days': 575,\n",
       "   'localUsers7Days': 292,\n",
       "   'localUsersLatest': 122,\n",
       "   'localStreamsPerUser56Days': 94.45022808732489,\n",
       "   'localStreamsPerUser28Days': 29.44964275899973,\n",
       "   'localStreamsPerUser14Days': 18.7411214953271,\n",
       "   'localStreamsPerUser7Days': 10.04444444444444,\n",
       "   'localStreamsPerUserLatest': 90.02,\n",
       "   'globalStreams56Days': 2938,\n",
       "   'globalStreams28Days': 1370,\n",
       "   'globalStreams14Days': 610,\n",
       "   'globalStreams7Days': 308,\n",
       "   'globalStreamsLatest': 148,\n",
       "   'globalUsers56Days': 2727,\n",
       "   'globalUsers28Days': 1304,\n",
       "   'globalUsers14Days': 575,\n",
       "   'globalUsers7Days': 292,\n",
       "   'globalUsersLatest': 122,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 2104737,\n",
       "   'subscribers7Days': 2102971,\n",
       "   'subscribers14Days': 2100736,\n",
       "   'subscribers28Days': 2096439,\n",
       "   'subscribers56Days': 2089407,\n",
       "   'positionChange': 3,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-03-03T11:43:49Z',\n",
       "   'name': 'United Kingdom Top 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbLnolsZ8PSNw.jpeg',\n",
       "   'countryCode': 'gb',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 2104970,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbLnolsZ8PSNw',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
       "   'public': False},\n",
       "  {'position': 0,\n",
       "   'added': '2020-02-28T10:50:41Z',\n",
       "   'earliestAdded': '2020-02-28T10:50:41Z',\n",
       "   'owner': {'accountName': 'P3 Sveriges Radio',\n",
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       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
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       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbLo3yC8XJf1e',\n",
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       "   'owner': {'accountName': 'spotifycharts',\n",
       "    'accountId': 'spotifycharts',\n",
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       "   'name': 'Honduras Viral 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbNpKdqfZ9Upp.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbNpKdqfZ9Upp',\n",
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       "   'name': 'Wrong Radio',\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8NhwVA47UEe0.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8NhwVA47UEe0',\n",
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       "   'name': 'Pull Up Radio',\n",
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       "   'name': 'Powfu Radio',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E4y0IneLDEpZl',\n",
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       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 1099,\n",
       "   'subscribers7Days': 1082,\n",
       "   'subscribers14Days': 1069,\n",
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       "   'name': \"Tell Me Why I'm Waiting Radio\",\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8PCiDDvRUvHU.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8PCiDDvRUvHU',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
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       "  {'position': 32,\n",
       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '1970-01-01T00:00:00Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
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       "   'name': 'crash Radio',\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8TW1JRzvZhMx.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8TW1JRzvZhMx',\n",
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       "   'added': '1970-01-01T00:00:00Z',\n",
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       "   'owner': {'accountName': 'spotifycharts',\n",
       "    'accountId': 'spotifycharts',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'marketStreams14Days': None,\n",
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       "   'marketStreamsLatest': None,\n",
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       "   'name': 'Malta Viral 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbMjKD6qnoc8p.jpeg',\n",
       "   'countryCode': '_gl',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 3603,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbMjKD6qnoc8p',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
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       "   'added': '1970-01-01T00:00:00Z',\n",
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       "   'owner': {'accountName': 'spotifycharts',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'marketStreamsLatest': None,\n",
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       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 63099,\n",
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       "   'streamDaysInPeriod28Day': 1,\n",
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       "   'name': 'Netherlands Viral 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbMQaPQjt027d.jpeg',\n",
       "   'countryCode': 'nl',\n",
       "   'trackCount': 50,\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbMQaPQjt027d',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
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       "  {'position': 1,\n",
       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '2020-02-12T09:21:08Z',\n",
       "   'owner': {'accountName': 'spotifycharts',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'localStreamsLatest': 59,\n",
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       "   'marketStreams56Days': None,\n",
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       "   'marketStreamsLatest': None,\n",
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       "   'subscribers1Day': 25494,\n",
       "   'subscribers7Days': 25465,\n",
       "   'subscribers14Days': 25393,\n",
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       "   'streamDaysInPeriod56Day': 2,\n",
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       "   'name': 'Norway Viral 50',\n",
       "   'imageFileName': 'playlist-37i9dQZEVXbOcsE2WCaJa2.jpeg',\n",
       "   'countryCode': 'no',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 25492,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZEVXbOcsE2WCaJa2',\n",
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       "   'owner': {'accountName': 'Spotify',\n",
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       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
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       "   'name': 'Pull Up Radio',\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8IKq9nX1qJL5.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8IKq9nX1qJL5',\n",
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       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '1970-01-01T00:00:00Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'marketStreams56Days': None,\n",
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       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
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       "   'name': 'Broken Radio',\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8OsNNZrYvgik.jpeg',\n",
       "   'countryCode': '_gl',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 1336,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8OsNNZrYvgik',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
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       "  {'position': 8,\n",
       "   'added': '1970-01-01T00:00:00Z',\n",
       "   'earliestAdded': '1970-01-01T00:00:00Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
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       "    'categoryName': 'Spotify',\n",
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       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
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       "   'name': 'Wendy Radio',\n",
       "   'imageFileName': 'playlist-37i9dQZF1E8RP4cgA6kVIM.jpeg',\n",
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       "   'spotifyLink': 'spotify:playlist:37i9dQZF1E8RP4cgA6kVIM',\n",
       "   'tracksLastAdded': '0001-01-01T00:00:00Z',\n",
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       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
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       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
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       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
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       "   'subscribers7Days': 209,\n",
       "   'subscribers14Days': 199,\n",
       "   'subscribers28Days': None,\n",
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       "   'countryCode': None,\n",
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       "   'spotifyLink': 'spotify:playlist:3qioe7W5u9MzslKPHK4FJQ',\n",
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       "   'public': True},\n",
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       "   'name': 'Esau Alcona musikredaktör P3',\n",
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       "   'marketStreamsLatest': None,\n",
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       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
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       "   'marketUsers7Days': None,\n",
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       "   'subscribers1Day': 5403,\n",
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       "   'countryCode': None,\n",
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       "   'spotifyLink': 'spotify:playlist:42eplutXyYtEgfiz0eWfiE',\n",
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       "   'marketUsers7Days': None,\n",
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       "    'accountId': 'pinguinradio',\n",
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       "   'localStreams28Days': 0,\n",
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       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 1,\n",
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       "   'subscribers28Days': 1,\n",
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       "   'spotifyLink': 'spotify:playlist:4JGc5kR6BtSvj1H5IpfGzq',\n",
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       "   'globalStreams7Days': 0,\n",
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       "   'globalUsers28Days': 0,\n",
       "   'globalUsers14Days': 0,\n",
       "   'globalUsers7Days': 0,\n",
       "   'globalUsersLatest': 0,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 0,\n",
       "   'subscribers7Days': 0,\n",
       "   'subscribers14Days': 0,\n",
       "   'subscribers28Days': None,\n",
       "   'subscribers56Days': None,\n",
       "   'positionChange': 2,\n",
       "   'streamDaysInPeriod7Day': 0,\n",
       "   'streamDaysInPeriod14Day': 0,\n",
       "   'streamDaysInPeriod28Day': 0,\n",
       "   'streamDaysInPeriod56Day': 0,\n",
       "   'positionChangeDate': '2020-02-27T15:04:07Z',\n",
       "   'name': 'lbb',\n",
       "   'imageFileName': 'playlist-4JnuWcW5hwnnskuHM89lrg.jpeg',\n",
       "   'countryCode': None,\n",
       "   'trackCount': 67,\n",
       "   'subscribers': 0,\n",
       "   'spotifyLink': 'spotify:playlist:4JnuWcW5hwnnskuHM89lrg',\n",
       "   'tracksLastAdded': '2020-02-28T21:59:47Z',\n",
       "   'public': True}],\n",
       " 'pagination': {'limit': 200, 'offset': 200, 'total': 439}}"
      ]
     },
     "execution_count": 448,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r3.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 451,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " '2TrUUWD9SIlW7aEMAgqs8b': (29, 40, None),\n",
       " '2uFHAW24l5yzX9ZfjRUhqI': (750, 752, None),\n",
       " '2W4CI5ma3dCZ2Or260tt8b': (6, 40, None),\n",
       " '3e0u2fZOD733l7ldAFQ4EM': (48, 49, None),\n",
       " '3E5NBKhV44brv4T6QHVGpd': (26, 40, None),\n",
       " '3EY7Re3rmuQTBZ4xuGInn5': (10, 300, 'dk'),\n",
       " '3fYyhh7ZJZITM0iZ4lMJeB': (61, 100, 'at'),\n",
       " '3Hn73uKuUmKaamIDiTGUrm': (41, 50, None),\n",
       " '3Id6fPoh0bVZJAMC4Korsz': (31, 32, None),\n",
       " '3KkmF7CppyHLP6NPw664aO': (2, 40, None),\n",
       " '3Q6X4croKONnyGDsS3rcz3': (479, 504, None),\n",
       " '3qioe7W5u9MzslKPHK4FJQ': (189, 373, None),\n",
       " '3qLoYsbnueoXT5Z8gAiUIj': (37, 146, 'se'),\n",
       " '3svnSJSnbh067eayhHFHkY': (36, 53, 'se'),\n",
       " '42eplutXyYtEgfiz0eWfiE': (6, 40, None),\n",
       " '4G1mZrusEYMaJceawlR9Uh': (38, 66, None),\n",
       " '4JGc5kR6BtSvj1H5IpfGzq': (363, 405, 'nl'),\n",
       " '4JnuWcW5hwnnskuHM89lrg': (51, 67, None)}"
      ]
     },
     "execution_count": 451,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{pl['spotifyLink'].split(':')[-1]: (pl['position'], pl['trackCount'], pl['countryCode']) for pl in r3.json()['items']}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " '37i9dQZEVXbObFQZ3JLcXt': (26, 50),\n",
       " '37i9dQZEVXbLRQDuF5jeBp': (42, 50),\n",
       " '6aYAiIdPeGpVcA3cPsO2JC': (479, 1418),\n",
       " '47Uk3e6OMl4z1cKjMY4271': (91, 636),\n",
       " '3QSmfNR2XtpoADu0QPGVJK': (14, 20),\n",
       " '1EZWcZdLz7E3iuCvn1XgaB': (68, 71),\n",
       " '69KilTnhBTRHX4HrX5LgVV': (193, 502),\n",
       " '15wJDLx56EosFlIDc3zjjh': (41, 50),\n",
       " '07fouBE2kZPmvOcZ5zPh7y': (0, 124),\n",
       " '0ClLP96BJ6JDBTsOJdqya7': (15, 55)}"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_todays_playlist_stream_counts():\n",
    "    top_playlists_url = 'https://generic.wg.spotify.com/s4x-insights-api/v1/artist/6bmlMHgSheBauioMgKv2tn/recording/7eJMfftS33KTjuF7lTsMCx/top-playlists?time-filter=28day&aggregation-level=recording'\n",
    "    headers = refresh_request_headers()\n",
    "    res = requests.get(top_playlists_url, headers=headers)\n",
    "    # {'uri': 'spotify:playlist:37i9dQZF1DXcBWIGoYBM5M',\n",
    "    #    'author': 'Spotify',\n",
    "    #    'listeners': '0',\n",
    "    #    'streams': '4636212',\n",
    "    #    'dateAdded': '2020-03-02',\n",
    "    #    'title': \"Today's Top Hits\",\n",
    "    #    'thumbnailUrl': 'https://i.scdn.co/image/ab67706f00000002763a8ee15e2326bee786ae0b',\n",
    "    #    'followers': '25880039'}\n",
    "    return {pl['uri'].split(':')[-1]: }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'items': [{'position': 17,\n",
       "   'added': '2020-03-02T05:01:00Z',\n",
       "   'earliestAdded': '2020-02-14T15:59:36Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 295013618,\n",
       "   'localStreams28Days': 134031268,\n",
       "   'localStreams14Days': 65564903,\n",
       "   'localStreams7Days': 34508886,\n",
       "   'localStreamsLatest': 4730318,\n",
       "   'localUsers56Days': 61752107,\n",
       "   'localUsers28Days': 30744536,\n",
       "   'localUsers14Days': 15138425,\n",
       "   'localUsers7Days': 7799238,\n",
       "   'localUsersLatest': 1003717,\n",
       "   'localStreamsPerUser56Days': 369.942079437715,\n",
       "   'localStreamsPerUser28Days': 330.22493837896695,\n",
       "   'localStreamsPerUser14Days': 313.48739621132904,\n",
       "   'localStreamsPerUser7Days': 314.04553776534425,\n",
       "   'localStreamsPerUserLatest': 317.9224339027107,\n",
       "   'globalStreams56Days': 295013618,\n",
       "   'globalStreams28Days': 134031268,\n",
       "   'globalStreams14Days': 65564903,\n",
       "   'globalStreams7Days': 34508886,\n",
       "   'globalStreamsLatest': 4730318,\n",
       "   'globalUsers56Days': 61752107,\n",
       "   'globalUsers28Days': 30744536,\n",
       "   'globalUsers14Days': 15138425,\n",
       "   'globalUsers7Days': 7799238,\n",
       "   'globalUsersLatest': 1003717,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 25874894,\n",
       "   'subscribers7Days': 25814552,\n",
       "   'subscribers14Days': 25741734,\n",
       "   'subscribers28Days': 25568205,\n",
       "   'subscribers56Days': 25284469,\n",
       "   'positionChange': -2,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-03-01T11:44:32Z',\n",
       "   'name': \"Today's Top Hits\",\n",
       "   'imageFileName': 'playlist-37i9dQZF1DXcBWIGoYBM5M.jpeg',\n",
       "   'countryCode': 'us',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 25882829,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1DXcBWIGoYBM5M',\n",
       "   'tracksLastAdded': '2020-03-02T05:01:00Z',\n",
       "   'public': True},\n",
       "  {'position': 44,\n",
       "   'added': '2020-03-02T13:06:30Z',\n",
       "   'earliestAdded': '2020-02-27T11:30:16Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 29479883,\n",
       "   'localStreams28Days': 14826864,\n",
       "   'localStreams14Days': 7135084,\n",
       "   'localStreams7Days': 3467768,\n",
       "   'localStreamsLatest': 452179,\n",
       "   'localUsers56Days': 5938972,\n",
       "   'localUsers28Days': 2934134,\n",
       "   'localUsers14Days': 1433685,\n",
       "   'localUsers7Days': 698293,\n",
       "   'localUsersLatest': 94998,\n",
       "   'localStreamsPerUser56Days': 320.3554564409209,\n",
       "   'localStreamsPerUser28Days': 318.11831481396825,\n",
       "   'localStreamsPerUser14Days': 304.6139777850237,\n",
       "   'localStreamsPerUser7Days': 287.53029246907477,\n",
       "   'localStreamsPerUserLatest': 297.1130295021052,\n",
       "   'globalStreams56Days': 29479883,\n",
       "   'globalStreams28Days': 14826864,\n",
       "   'globalStreams14Days': 7135084,\n",
       "   'globalStreams7Days': 3467768,\n",
       "   'globalStreamsLatest': 452179,\n",
       "   'globalUsers56Days': 5938972,\n",
       "   'globalUsers28Days': 2934134,\n",
       "   'globalUsers14Days': 1433685,\n",
       "   'globalUsers7Days': 698293,\n",
       "   'globalUsersLatest': 94998,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 1598617,\n",
       "   'subscribers7Days': 1595519,\n",
       "   'subscribers14Days': 1591562,\n",
       "   'subscribers28Days': 1581988,\n",
       "   'subscribers56Days': 1565142,\n",
       "   'positionChange': 21,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-03-02T09:41:18Z',\n",
       "   'name': 'Hits du Moment',\n",
       "   'imageFileName': 'playlist-37i9dQZF1DWVuV87wUBNwc.jpeg',\n",
       "   'countryCode': 'fr',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 1599074,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1DWVuV87wUBNwc',\n",
       "   'tracksLastAdded': '2020-03-02T13:06:30Z',\n",
       "   'public': False},\n",
       "  {'position': 3,\n",
       "   'added': '2020-03-04T04:07:04Z',\n",
       "   'earliestAdded': '2020-02-19T07:25:59Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 29119879,\n",
       "   'localStreams28Days': 14692481,\n",
       "   'localStreams14Days': 7771884,\n",
       "   'localStreams7Days': 4027902,\n",
       "   'localStreamsLatest': 559579,\n",
       "   'localUsers56Days': 7080755,\n",
       "   'localUsers28Days': 3386183,\n",
       "   'localUsers14Days': 1683984,\n",
       "   'localUsers7Days': 842348,\n",
       "   'localUsersLatest': 115692,\n",
       "   'localStreamsPerUser56Days': 294.80221522141665,\n",
       "   'localStreamsPerUser28Days': 301.334922542411,\n",
       "   'localStreamsPerUser14Days': 301.20265867206626,\n",
       "   'localStreamsPerUser7Days': 303.624224175193,\n",
       "   'localStreamsPerUserLatest': 368.4483915051605,\n",
       "   'globalStreams56Days': 29119879,\n",
       "   'globalStreams28Days': 14692481,\n",
       "   'globalStreams14Days': 7771884,\n",
       "   'globalStreams7Days': 4027902,\n",
       "   'globalStreamsLatest': 559579,\n",
       "   'globalUsers56Days': 7080755,\n",
       "   'globalUsers28Days': 3386183,\n",
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       "   'localStreamsPerUser14Days': 79.61632250474355,\n",
       "   'localStreamsPerUser7Days': 68.6126076894388,\n",
       "   'localStreamsPerUserLatest': 163.1542626927742,\n",
       "   'globalStreams56Days': 978191,\n",
       "   'globalStreams28Days': 561998,\n",
       "   'globalStreams14Days': 290637,\n",
       "   'globalStreams7Days': 151372,\n",
       "   'globalStreamsLatest': 19849,\n",
       "   'globalUsers56Days': 308067,\n",
       "   'globalUsers28Days': 168061,\n",
       "   'globalUsers14Days': 86260,\n",
       "   'globalUsers7Days': 45578,\n",
       "   'globalUsersLatest': 5848,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 70534,\n",
       "   'subscribers7Days': 69407,\n",
       "   'subscribers14Days': 68499,\n",
       "   'subscribers28Days': 66052,\n",
       "   'subscribers56Days': 60470,\n",
       "   'positionChange': 3,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-02-27T10:04:50Z',\n",
       "   'name': 'Déclassé',\n",
       "   'imageFileName': 'playlist-37i9dQZF1DX4WpYT2fah9c.jpeg',\n",
       "   'countryCode': 'fr',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 70682,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1DX4WpYT2fah9c',\n",
       "   'tracksLastAdded': '2020-03-02T10:58:06Z',\n",
       "   'public': False},\n",
       "  {'position': 9,\n",
       "   'added': '2020-02-28T12:08:07Z',\n",
       "   'earliestAdded': '2020-02-18T10:57:33Z',\n",
       "   'owner': {'accountName': 'Filtr UK',\n",
       "    'accountId': 'sonymusicuk',\n",
       "    'categoryId': 1,\n",
       "    'categoryName': 'Sony',\n",
       "    'marketCode': 'gb'},\n",
       "   'localStreams56Days': 1031858,\n",
       "   'localStreams28Days': 550919,\n",
       "   'localStreams14Days': 304641,\n",
       "   'localStreams7Days': 145628,\n",
       "   'localStreamsLatest': 29908,\n",
       "   'localUsers56Days': 72542,\n",
       "   'localUsers28Days': 39579,\n",
       "   'localUsers14Days': 21835,\n",
       "   'localUsers7Days': 10507,\n",
       "   'localUsersLatest': 2309,\n",
       "   'localStreamsPerUser56Days': 920.1720946572705,\n",
       "   'localStreamsPerUser28Days': 815.5521779917292,\n",
       "   'localStreamsPerUser14Days': 777.8252178940911,\n",
       "   'localStreamsPerUser7Days': 723.9859950620038,\n",
       "   'localStreamsPerUserLatest': 721.4744688488673,\n",
       "   'globalStreams56Days': 1031858,\n",
       "   'globalStreams28Days': 550919,\n",
       "   'globalStreams14Days': 304641,\n",
       "   'globalStreams7Days': 145628,\n",
       "   'globalStreamsLatest': 29908,\n",
       "   'globalUsers56Days': 72542,\n",
       "   'globalUsers28Days': 39579,\n",
       "   'globalUsers14Days': 21835,\n",
       "   'globalUsers7Days': 10507,\n",
       "   'globalUsersLatest': 2309,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 193747,\n",
       "   'subscribers7Days': 193640,\n",
       "   'subscribers14Days': 193441,\n",
       "   'subscribers28Days': 193454,\n",
       "   'subscribers56Days': 193217,\n",
       "   'positionChange': 2,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-02-28T01:34:08Z',\n",
       "   'name': 'Chillout Session',\n",
       "   'imageFileName': 'playlist-2K8yefvBUtiZNidagTIeca.jpeg',\n",
       "   'countryCode': 'gb',\n",
       "   'trackCount': 65,\n",
       "   'subscribers': 193729,\n",
       "   'spotifyLink': 'spotify:playlist:2K8yefvBUtiZNidagTIeca',\n",
       "   'tracksLastAdded': '2020-02-28T12:08:07Z',\n",
       "   'public': True},\n",
       "  {'position': 8,\n",
       "   'added': '2020-02-21T12:43:01Z',\n",
       "   'earliestAdded': '2020-02-21T12:43:01Z',\n",
       "   'owner': {'accountName': 'Filtr España',\n",
       "    'accountId': 'mejoresplaylistsspotify',\n",
       "    'categoryId': 1,\n",
       "    'categoryName': 'Sony',\n",
       "    'marketCode': 'es'},\n",
       "   'localStreams56Days': 1188669,\n",
       "   'localStreams28Days': 547291,\n",
       "   'localStreams14Days': 276508,\n",
       "   'localStreams7Days': 129108,\n",
       "   'localStreamsLatest': 22059,\n",
       "   'localUsers56Days': 42651,\n",
       "   'localUsers28Days': 18789,\n",
       "   'localUsers14Days': 9172,\n",
       "   'localUsers7Days': 4368,\n",
       "   'localUsersLatest': 670,\n",
       "   'localStreamsPerUser56Days': 966.7235764890728,\n",
       "   'localStreamsPerUser28Days': 717.4090849500542,\n",
       "   'localStreamsPerUser14Days': 625.525163363207,\n",
       "   'localStreamsPerUser7Days': 502.6508887476843,\n",
       "   'localStreamsPerUserLatest': 862.5965450351263,\n",
       "   'globalStreams56Days': 1188669,\n",
       "   'globalStreams28Days': 547291,\n",
       "   'globalStreams14Days': 276508,\n",
       "   'globalStreams7Days': 129108,\n",
       "   'globalStreamsLatest': 22059,\n",
       "   'globalUsers56Days': 42651,\n",
       "   'globalUsers28Days': 18789,\n",
       "   'globalUsers14Days': 9172,\n",
       "   'globalUsers7Days': 4368,\n",
       "   'globalUsersLatest': 670,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 3412,\n",
       "   'subscribers7Days': 3367,\n",
       "   'subscribers14Days': 3330,\n",
       "   'subscribers28Days': 3200,\n",
       "   'subscribers56Days': 2540,\n",
       "   'positionChange': 1,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-02-28T02:22:19Z',\n",
       "   'name': \"Oficina 'Hits Internacionales'\",\n",
       "   'imageFileName': 'playlist-0DOnlxS9lopYhlh7VG5KMu.jpeg',\n",
       "   'countryCode': 'es',\n",
       "   'trackCount': 100,\n",
       "   'subscribers': 3411,\n",
       "   'spotifyLink': 'spotify:playlist:0DOnlxS9lopYhlh7VG5KMu',\n",
       "   'tracksLastAdded': '2020-02-28T09:46:43Z',\n",
       "   'public': True},\n",
       "  {'position': 30,\n",
       "   'added': '2020-02-25T14:18:53Z',\n",
       "   'earliestAdded': '2020-02-25T14:18:53Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 1063858,\n",
       "   'localStreams28Days': 519767,\n",
       "   'localStreams14Days': 268262,\n",
       "   'localStreams7Days': 144221,\n",
       "   'localStreamsLatest': 20385,\n",
       "   'localUsers56Days': 219590,\n",
       "   'localUsers28Days': 104521,\n",
       "   'localUsers14Days': 52854,\n",
       "   'localUsers7Days': 27245,\n",
       "   'localUsersLatest': 3787,\n",
       "   'localStreamsPerUser56Days': 345.7054693040391,\n",
       "   'localStreamsPerUser28Days': 210.35923051084316,\n",
       "   'localStreamsPerUser14Days': 178.49110005024352,\n",
       "   'localStreamsPerUser7Days': 150.19668943694515,\n",
       "   'localStreamsPerUserLatest': 301.51187263896384,\n",
       "   'globalStreams56Days': 1063858,\n",
       "   'globalStreams28Days': 519767,\n",
       "   'globalStreams14Days': 268262,\n",
       "   'globalStreams7Days': 144221,\n",
       "   'globalStreamsLatest': 20385,\n",
       "   'globalUsers56Days': 219590,\n",
       "   'globalUsers28Days': 104521,\n",
       "   'globalUsers14Days': 52854,\n",
       "   'globalUsers7Days': 27245,\n",
       "   'globalUsersLatest': 3787,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 70949,\n",
       "   'subscribers7Days': 70672,\n",
       "   'subscribers14Days': 70418,\n",
       "   'subscribers28Days': 69850,\n",
       "   'subscribers56Days': 68417,\n",
       "   'positionChange': None,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': None,\n",
       "   'name': 'Top Hits Switzerland',\n",
       "   'imageFileName': 'playlist-37i9dQZF1DX0MD19TXm0aV.jpeg',\n",
       "   'countryCode': 'ch',\n",
       "   'trackCount': 50,\n",
       "   'subscribers': 70999,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1DX0MD19TXm0aV',\n",
       "   'tracksLastAdded': '2020-02-25T14:18:53Z',\n",
       "   'public': False},\n",
       "  {'position': 16,\n",
       "   'added': '2020-03-02T00:01:00Z',\n",
       "   'earliestAdded': '2020-02-20T23:01:00Z',\n",
       "   'owner': {'accountName': 'Spotify',\n",
       "    'accountId': 'spotify',\n",
       "    'categoryId': 5,\n",
       "    'categoryName': 'Spotify',\n",
       "    'marketCode': '_gl'},\n",
       "   'localStreams56Days': 1052359,\n",
       "   'localStreams28Days': 499823,\n",
       "   'localStreams14Days': 244250,\n",
       "   'localStreams7Days': 119447,\n",
       "   'localStreamsLatest': 17086,\n",
       "   'localUsers56Days': 245923,\n",
       "   'localUsers28Days': 112102,\n",
       "   'localUsers14Days': 54621,\n",
       "   'localUsers7Days': 26880,\n",
       "   'localUsersLatest': 3781,\n",
       "   'localStreamsPerUser56Days': 232.52480993856764,\n",
       "   'localStreamsPerUser28Days': 146.2210490478293,\n",
       "   'localStreamsPerUser14Days': 143.16775820376438,\n",
       "   'localStreamsPerUser7Days': 119.14549933474925,\n",
       "   'localStreamsPerUserLatest': 221.59557532623745,\n",
       "   'globalStreams56Days': 1052359,\n",
       "   'globalStreams28Days': 499823,\n",
       "   'globalStreams14Days': 244250,\n",
       "   'globalStreams7Days': 119447,\n",
       "   'globalStreamsLatest': 17086,\n",
       "   'globalUsers56Days': 245923,\n",
       "   'globalUsers28Days': 112102,\n",
       "   'globalUsers14Days': 54621,\n",
       "   'globalUsers7Days': 26880,\n",
       "   'globalUsersLatest': 3781,\n",
       "   'marketStreams56Days': None,\n",
       "   'marketStreams28Days': None,\n",
       "   'marketStreams14Days': None,\n",
       "   'marketStreams7Days': None,\n",
       "   'marketStreamsLatest': None,\n",
       "   'marketUsers56Days': None,\n",
       "   'marketUsers28Days': None,\n",
       "   'marketUsers14Days': None,\n",
       "   'marketUsers7Days': None,\n",
       "   'marketUsersLatest': None,\n",
       "   'subscribers1Day': 49682,\n",
       "   'subscribers7Days': 49218,\n",
       "   'subscribers14Days': 48460,\n",
       "   'subscribers28Days': 47266,\n",
       "   'subscribers56Days': 45091,\n",
       "   'positionChange': 1,\n",
       "   'streamDaysInPeriod7Day': 7,\n",
       "   'streamDaysInPeriod14Day': 14,\n",
       "   'streamDaysInPeriod28Day': 28,\n",
       "   'streamDaysInPeriod56Day': 56,\n",
       "   'positionChangeDate': '2020-02-24T09:15:28Z',\n",
       "   'name': 'Top Hits Vietnam',\n",
       "   'imageFileName': 'playlist-37i9dQZF1DX0F4i7Q9pshJ.jpeg',\n",
       "   'countryCode': '_gl',\n",
       "   'trackCount': 55,\n",
       "   'subscribers': 49738,\n",
       "   'spotifyLink': 'spotify:playlist:37i9dQZF1DX0F4i7Q9pshJ',\n",
       "   'tracksLastAdded': '2020-03-02T00:01:00Z',\n",
       "   'public': False}],\n",
       " 'pagination': {'limit': 50, 'offset': 0, 'total': 435}}"
      ]
     },
     "execution_count": 368,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [],
   "source": [
    "topPlaylistsDict = {\n",
    "    pl['uri'].split(':')[-1]: ({k:v for k,v in pl.items() if k in ['title', 'streams', 'followers']})\n",
    "    for pl in topJson['data']\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 452,
   "metadata": {},
   "outputs": [],
   "source": [
    "playlistPositionsDict = {pl['spotifyLink'].split(':')[-1]: (pl['position'], pl['trackCount'], pl['countryCode']) for pl in r3.json()['items']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "playlistPositionsDict.update()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Days\n",
    "\n",
    "---------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "topMerged['position'] = topMerged.index.map(lambda x: playlistPositionsDict.get(x.split(':')[-1], {})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other stuff\n",
    "\n",
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = [[k] + list(v.values()) + list(allApollo.get(k) or []) for k,v in topPlaylistsDict.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDf = pd.DataFrame(data=merged, columns=['spyid'] + ['streams', 'title', 'followers'] + ['position', 'trackCount', 'countryCode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_playlists = mergedDf[(mergedDf.followers.str.len() < 11)].copy()\n",
    "valid_playlists['streams'] = valid_playlists.streams.astype(numpy.int64)\n",
    "valid_playlists['followers'] = valid_playlists.followers.astype(numpy.int64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 479,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_playlists['streams_per_follower'] = (valid_playlists.streams / valid_playlists.followers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_playlists['score1'] = valid_playlists.streams_per_follower / (100 - valid_playlists.position + 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 496,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_playlists.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 519,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11a7bc668>"
      ]
     },
     "execution_count": 519,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x237.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "((valid_playlists[(valid_playlists.streams_per_follower < 30) & (valid_playlists.position > -1)]\n",
    " ).sort_values('score1')).streams_per_follower.plot(kind='bar', figsize=(13, 3.3), title=\"Streams / Follower\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 515,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11e006a20>"
      ]
     },
     "execution_count": 515,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x237.6 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    1/(\n",
    "     (valid_playlists[\n",
    "        (valid_playlists.streams_per_follower < 30) & (valid_playlists.position > -1)\n",
    "    ]).sort_values('score1').position + 1)\n",
    ").plot(kind='bar', figsize=(13, 3.3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 518,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>spyid</th>\n",
       "      <th>streams</th>\n",
       "      <th>title</th>\n",
       "      <th>followers</th>\n",
       "      <th>position</th>\n",
       "      <th>trackCount</th>\n",
       "      <th>countryCode</th>\n",
       "      <th>streams_per_follower</th>\n",
       "      <th>score1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>37i9dQZEVXbMOkSwG072hV</td>\n",
       "      <td>12497</td>\n",
       "      <td>Brazil Viral 50</td>\n",
       "      <td>316211</td>\n",
       "      <td>2.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>br</td>\n",
       "      <td>0.039521</td>\n",
       "      <td>0.000399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>37i9dQZEVXbMDoHDwVN2tF</td>\n",
       "      <td>414478</td>\n",
       "      <td>Global Top 50</td>\n",
       "      <td>15017361</td>\n",
       "      <td>32.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>_gl</td>\n",
       "      <td>0.027600</td>\n",
       "      <td>0.000400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>37i9dQZF1DX8vwRmUsEIMT</td>\n",
       "      <td>17793</td>\n",
       "      <td>All New All Now</td>\n",
       "      <td>469571</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>gb</td>\n",
       "      <td>0.037892</td>\n",
       "      <td>0.000462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>37i9dQZEVXbLuUZrygauiA</td>\n",
       "      <td>10952</td>\n",
       "      <td>Mexico Viral 50</td>\n",
       "      <td>203113</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>mx</td>\n",
       "      <td>0.053921</td>\n",
       "      <td>0.000539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>37i9dQZEVXbLnolsZ8PSNw</td>\n",
       "      <td>75374</td>\n",
       "      <td>United Kingdom Top 50</td>\n",
       "      <td>2104941</td>\n",
       "      <td>35.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gb</td>\n",
       "      <td>0.035808</td>\n",
       "      <td>0.000543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>37i9dQZF1DX4jP4eebSWR9</td>\n",
       "      <td>104005</td>\n",
       "      <td>Top Hits Deutschland</td>\n",
       "      <td>2068804</td>\n",
       "      <td>18.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>de</td>\n",
       "      <td>0.050273</td>\n",
       "      <td>0.000606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>37i9dQZEVXbLoATJ81JYXz</td>\n",
       "      <td>23600</td>\n",
       "      <td>Sweden Top 50</td>\n",
       "      <td>565536</td>\n",
       "      <td>33.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>se</td>\n",
       "      <td>0.041730</td>\n",
       "      <td>0.000614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>37i9dQZEVXbJvfa0Yxg7E7</td>\n",
       "      <td>21299</td>\n",
       "      <td>Norway Top 50</td>\n",
       "      <td>437800</td>\n",
       "      <td>24.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>no</td>\n",
       "      <td>0.048650</td>\n",
       "      <td>0.000632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>37i9dQZF1DX6xZZEgC9Ubl</td>\n",
       "      <td>17018</td>\n",
       "      <td>Tear Drop</td>\n",
       "      <td>580372</td>\n",
       "      <td>58.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>_gl</td>\n",
       "      <td>0.029323</td>\n",
       "      <td>0.000682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>37i9dQZEVXbJv2Mvelmc3I</td>\n",
       "      <td>12463</td>\n",
       "      <td>Philippines Viral 50</td>\n",
       "      <td>177191</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>ph</td>\n",
       "      <td>0.070337</td>\n",
       "      <td>0.000696</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     spyid  streams                  title  followers  \\\n",
       "86  37i9dQZEVXbMOkSwG072hV    12497        Brazil Viral 50     316211   \n",
       "3   37i9dQZEVXbMDoHDwVN2tF   414478          Global Top 50   15017361   \n",
       "65  37i9dQZF1DX8vwRmUsEIMT    17793        All New All Now     469571   \n",
       "90  37i9dQZEVXbLuUZrygauiA    10952        Mexico Viral 50     203113   \n",
       "24  37i9dQZEVXbLnolsZ8PSNw    75374  United Kingdom Top 50    2104941   \n",
       "19  37i9dQZF1DX4jP4eebSWR9   104005   Top Hits Deutschland    2068804   \n",
       "49  37i9dQZEVXbLoATJ81JYXz    23600          Sweden Top 50     565536   \n",
       "55  37i9dQZEVXbJvfa0Yxg7E7    21299          Norway Top 50     437800   \n",
       "67  37i9dQZF1DX6xZZEgC9Ubl    17018              Tear Drop     580372   \n",
       "87  37i9dQZEVXbJv2Mvelmc3I    12463   Philippines Viral 50     177191   \n",
       "\n",
       "    position  trackCount countryCode  streams_per_follower    score1  \n",
       "86       2.0        50.0          br              0.039521  0.000399  \n",
       "3       32.0        50.0         _gl              0.027600  0.000400  \n",
       "65      19.0        80.0          gb              0.037892  0.000462  \n",
       "90       1.0        50.0          mx              0.053921  0.000539  \n",
       "24      35.0        50.0          gb              0.035808  0.000543  \n",
       "19      18.0        50.0          de              0.050273  0.000606  \n",
       "49      33.0        50.0          se              0.041730  0.000614  \n",
       "55      24.0        50.0          no              0.048650  0.000632  \n",
       "67      58.0        65.0         _gl              0.029323  0.000682  \n",
       "87       0.0        50.0          ph              0.070337  0.000696  "
      ]
     },
     "execution_count": 518,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valid_playlists[\n",
    "        (valid_playlists.streams_per_follower < 30) & (valid_playlists.position > -1)\n",
    "    ].sort_values('score1').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "spyid                   5FvSWecLOC4rBsvylNlWDy\n",
       "streams                                  19050\n",
       "title                           deathbed-powfu\n",
       "followers                                  228\n",
       "position                                   NaN\n",
       "trackCount                                 NaN\n",
       "countryCode                               None\n",
       "streams_per_follower                   83.5526\n",
       "score1                                     NaN\n",
       "Name: 60, dtype: object"
      ]
     },
     "execution_count": 493,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valid_playlists.loc[60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDf['streams'] = mergedDf.streams.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDf['followers'] = mergedDf.followers.map(lambda x: int(x) if len(x) < 11 else numpy.NaN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "metadata": {},
   "outputs": [],
   "source": [
    "followerTotalsDict = mergedDf.groupby('countryCode').followers.sum().to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 434,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDf['followerWeights'] = mergedDf.followers / mergedDf.countryCode.map(followerTotalsDict.get)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "metadata": {},
   "outputs": [],
   "source": [
    "mergedDf['posPower'] = mergedDf.followerWeights * mergedDf.posPercent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 437,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.283705\n",
       "1     0.009156\n",
       "2     0.061213\n",
       "3     0.544666\n",
       "4          NaN\n",
       "        ...   \n",
       "94         NaN\n",
       "95         NaN\n",
       "96    0.000089\n",
       "97         NaN\n",
       "98         NaN\n",
       "Name: posPower, Length: 99, dtype: float64"
      ]
     },
     "execution_count": 437,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 441,
   "metadata": {},
   "outputs": [],
   "source": [
    "groupedCountry = mergedDf[['countryCode', 'streams', 'posPower', 'posPercent', 'trackCount']].groupby('countryCode').agg({'streams':'sum', 'posPower':'mean', 'posPercent':'mean', 'trackCount': 'count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b0f9390>"
      ]
     },
     "execution_count": 416,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "groupedCountry.streams.sort_values(ascending=False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 442,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x119ead1d0>"
      ]
     },
     "execution_count": 442,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "((groupedCountry.posPower - 1)*-100).sort_values(ascending=False).plot(kind='bar', title=\"Playlist Position Power (higher is better)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Playlist Position Power is the average position in the playlist weighted by the size of the playlist in terms of followers, it's a value from 1 to 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "countryCode\n",
       "ca     0.028718\n",
       "au     0.066667\n",
       "es     0.130769\n",
       "nz     0.140000\n",
       "de     0.196667\n",
       "_gl    0.202530\n",
       "sg     0.208333\n",
       "gb     0.224375\n",
       "nl     0.235000\n",
       "fr     0.245000\n",
       "ph     0.247500\n",
       "my     0.375000\n",
       "us     0.443333\n",
       "se     0.445113\n",
       "fi     0.529412\n",
       "no     0.597647\n",
       "id     0.686829\n",
       "Name: posPercent, dtype: float64"
      ]
     },
     "execution_count": 419,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groupedCountry.posPercent.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 521,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>spyid</th>\n",
       "      <th>streams</th>\n",
       "      <th>title</th>\n",
       "      <th>followers</th>\n",
       "      <th>position</th>\n",
       "      <th>trackCount</th>\n",
       "      <th>countryCode</th>\n",
       "      <th>streams_per_follower</th>\n",
       "      <th>score1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>37i9dQZF1DX4JAvHpjipBk</td>\n",
       "      <td>198705</td>\n",
       "      <td>New Music Friday</td>\n",
       "      <td>3674695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.054074</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4FLeoROn5GT7n2tZq5XB4V</td>\n",
       "      <td>91522</td>\n",
       "      <td>TikTok Trending</td>\n",
       "      <td>149645</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.611594</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25aExpL7xcWdekX3uJ0PdQ</td>\n",
       "      <td>74986</td>\n",
       "      <td>TikTok Dances 2020</td>\n",
       "      <td>92718</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.808753</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7wFEdIAin9SERVgudjiNo9</td>\n",
       "      <td>71157</td>\n",
       "      <td>Death Bed - Powfu</td>\n",
       "      <td>40216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.769370</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4Ao85ZB0F474SYUelDH1Xi</td>\n",
       "      <td>59205</td>\n",
       "      <td>Sad Rap</td>\n",
       "      <td>237938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.248825</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>3BcBynrGNXjNPwWrVVhggp</td>\n",
       "      <td>38509</td>\n",
       "      <td>mood.</td>\n",
       "      <td>200666</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191906</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>34IUNMGYdKAkxjb0MvgZCk</td>\n",
       "      <td>31776</td>\n",
       "      <td>Powfu – Death Bed</td>\n",
       "      <td>10384</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>3.060092</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>37i9dQZF1DXcBNDRHS1adf</td>\n",
       "      <td>28860</td>\n",
       "      <td>全球人氣榜</td>\n",
       "      <td>137056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.210571</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>37i9dQZF1DXaPCIWxzZwR1</td>\n",
       "      <td>22918</td>\n",
       "      <td>Pop Sauce</td>\n",
       "      <td>516123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.044404</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3o6P4ZAJLETYN8b0eL8MYx</td>\n",
       "      <td>22094</td>\n",
       "      <td>Sad Rap</td>\n",
       "      <td>26283</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.840619</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>37i9dQZF1DX4W3aJJYCDfV</td>\n",
       "      <td>20886</td>\n",
       "      <td>New Music Friday UK</td>\n",
       "      <td>776157</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.026910</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1y033SLUSiJ0H2uwb3xAo0</td>\n",
       "      <td>20405</td>\n",
       "      <td>tiktok songs that you will love</td>\n",
       "      <td>93222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.218886</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>5FvSWecLOC4rBsvylNlWDy</td>\n",
       "      <td>19050</td>\n",
       "      <td>deathbed-powfu</td>\n",
       "      <td>228</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>83.552632</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>4Sfccot1TksnIXvpANJ9yl</td>\n",
       "      <td>18705</td>\n",
       "      <td>Tik Tok Songs 2020 - Hits &amp; More | Colonize Media</td>\n",
       "      <td>30646</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.610357</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1zqzEdfFSpNzKUv1i77ke2</td>\n",
       "      <td>18193</td>\n",
       "      <td>Death Bed – Powfu</td>\n",
       "      <td>3640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>4.998077</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>37i9dQZF1DX5DfG8gQdC3F</td>\n",
       "      <td>15794</td>\n",
       "      <td>New Music Friday Canada</td>\n",
       "      <td>287086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.055015</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>37i9dQZF1DX8f6LHxMjnzD</td>\n",
       "      <td>15482</td>\n",
       "      <td>Singled Out</td>\n",
       "      <td>746342</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.020744</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>5KBNmVZuGX8zikPDIhsUi0</td>\n",
       "      <td>15089</td>\n",
       "      <td>queen of disaster - lana del rey</td>\n",
       "      <td>2418</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>6.240281</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>7vOtwzdPcI23sAFbMv68Ja</td>\n",
       "      <td>14934</td>\n",
       "      <td>Sad Feelings</td>\n",
       "      <td>32933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.453466</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>6jyR9fSSLcSrSkQZDS3N3i</td>\n",
       "      <td>14394</td>\n",
       "      <td>sad as shit</td>\n",
       "      <td>10233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>1.406626</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>32hJXySZtt9YvnwcYINGZ0</td>\n",
       "      <td>10877</td>\n",
       "      <td>lofi hip hop / chillhop / beats to study/relax to</td>\n",
       "      <td>129031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.084298</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1NA6Nq3NTiTy0EOtaxhelK</td>\n",
       "      <td>9993</td>\n",
       "      <td>chill rap</td>\n",
       "      <td>20864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.478959</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>4yeekUmUtpmhWnfQpVLEAP</td>\n",
       "      <td>9763</td>\n",
       "      <td>sade</td>\n",
       "      <td>17959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.543627</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>37i9dQZF1DWT2SPAYawYcO</td>\n",
       "      <td>9608</td>\n",
       "      <td>New Music Friday AU &amp; NZ</td>\n",
       "      <td>315054</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.030496</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     spyid  streams  \\\n",
       "7   37i9dQZF1DX4JAvHpjipBk   198705   \n",
       "22  4FLeoROn5GT7n2tZq5XB4V    91522   \n",
       "25  25aExpL7xcWdekX3uJ0PdQ    74986   \n",
       "27  7wFEdIAin9SERVgudjiNo9    71157   \n",
       "30  4Ao85ZB0F474SYUelDH1Xi    59205   \n",
       "41  3BcBynrGNXjNPwWrVVhggp    38509   \n",
       "44  34IUNMGYdKAkxjb0MvgZCk    31776   \n",
       "47  37i9dQZF1DXcBNDRHS1adf    28860   \n",
       "50  37i9dQZF1DXaPCIWxzZwR1    22918   \n",
       "52  3o6P4ZAJLETYN8b0eL8MYx    22094   \n",
       "56  37i9dQZF1DX4W3aJJYCDfV    20886   \n",
       "57  1y033SLUSiJ0H2uwb3xAo0    20405   \n",
       "60  5FvSWecLOC4rBsvylNlWDy    19050   \n",
       "62  4Sfccot1TksnIXvpANJ9yl    18705   \n",
       "64  1zqzEdfFSpNzKUv1i77ke2    18193   \n",
       "73  37i9dQZF1DX5DfG8gQdC3F    15794   \n",
       "75  37i9dQZF1DX8f6LHxMjnzD    15482   \n",
       "78  5KBNmVZuGX8zikPDIhsUi0    15089   \n",
       "79  7vOtwzdPcI23sAFbMv68Ja    14934   \n",
       "81  6jyR9fSSLcSrSkQZDS3N3i    14394   \n",
       "91  32hJXySZtt9YvnwcYINGZ0    10877   \n",
       "94  1NA6Nq3NTiTy0EOtaxhelK     9993   \n",
       "95  4yeekUmUtpmhWnfQpVLEAP     9763   \n",
       "97  37i9dQZF1DWT2SPAYawYcO     9608   \n",
       "\n",
       "                                                title  followers  position  \\\n",
       "7                                    New Music Friday    3674695       NaN   \n",
       "22                                    TikTok Trending     149645       NaN   \n",
       "25                                 TikTok Dances 2020      92718       NaN   \n",
       "27                                  Death Bed - Powfu      40216       NaN   \n",
       "30                                            Sad Rap     237938       NaN   \n",
       "41                                              mood.     200666       NaN   \n",
       "44                                  Powfu – Death Bed      10384       NaN   \n",
       "47                                              全球人氣榜     137056       NaN   \n",
       "50                                          Pop Sauce     516123       NaN   \n",
       "52                                            Sad Rap      26283       NaN   \n",
       "56                                New Music Friday UK     776157       NaN   \n",
       "57                    tiktok songs that you will love      93222       NaN   \n",
       "60                                     deathbed-powfu        228       NaN   \n",
       "62  Tik Tok Songs 2020 - Hits & More | Colonize Media      30646       NaN   \n",
       "64                                  Death Bed – Powfu       3640       NaN   \n",
       "73                            New Music Friday Canada     287086       NaN   \n",
       "75                                        Singled Out     746342       NaN   \n",
       "78                  queen of disaster - lana del rey        2418       NaN   \n",
       "79                                       Sad Feelings      32933       NaN   \n",
       "81                                        sad as shit      10233       NaN   \n",
       "91  lofi hip hop / chillhop / beats to study/relax to     129031       NaN   \n",
       "94                                          chill rap      20864       NaN   \n",
       "95                                              sade       17959       NaN   \n",
       "97                           New Music Friday AU & NZ     315054       NaN   \n",
       "\n",
       "    trackCount countryCode  streams_per_follower  score1  \n",
       "7          NaN        None              0.054074     NaN  \n",
       "22         NaN        None              0.611594     NaN  \n",
       "25         NaN        None              0.808753     NaN  \n",
       "27         NaN        None              1.769370     NaN  \n",
       "30         NaN        None              0.248825     NaN  \n",
       "41         NaN        None              0.191906     NaN  \n",
       "44         NaN        None              3.060092     NaN  \n",
       "47         NaN        None              0.210571     NaN  \n",
       "50         NaN        None              0.044404     NaN  \n",
       "52         NaN        None              0.840619     NaN  \n",
       "56         NaN        None              0.026910     NaN  \n",
       "57         NaN        None              0.218886     NaN  \n",
       "60         NaN        None             83.552632     NaN  \n",
       "62         NaN        None              0.610357     NaN  \n",
       "64         NaN        None              4.998077     NaN  \n",
       "73         NaN        None              0.055015     NaN  \n",
       "75         NaN        None              0.020744     NaN  \n",
       "78         NaN        None              6.240281     NaN  \n",
       "79         NaN        None              0.453466     NaN  \n",
       "81         NaN        None              1.406626     NaN  \n",
       "91         NaN        None              0.084298     NaN  \n",
       "94         NaN        None              0.478959     NaN  \n",
       "95         NaN        None              0.543627     NaN  \n",
       "97         NaN        None              0.030496     NaN  "
      ]
     },
     "execution_count": 521,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valid_playlists[valid_playlists.position.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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