{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 5.89 s\n",
      "Wall time: 6.14 s\n"
     ]
    },
    {
     "data": {
      "text/plain": "(31371, 9)"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "import pandas as pd\n",
    "df = pd.read_excel(\"G:\\Mon Drive\\Ziwig-Health\\Data\\Extract_Prof_Patient_List_new.xlsx\", header=2)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 46.9 ms\n",
      "Wall time: 49.9 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": "isStartMedicalRecord  False  True      \nisFinishMedicalRecord False False  True\ncreatedAt                              \n2020-11-30              169     9    78\n2020-12-31              226    16   147\n2021-01-31              149   388   842\n2021-02-28              238   164   606\n2021-03-31              652   453  2262\n2021-04-30              250   118  1141\n2021-05-31              269   144  1106\n2021-06-30              283   150  1012\n2021-07-31              227   127   883\n2021-08-31              196   111   912\n2021-09-30              223   142  1254\n2021-10-31              224   112  1176\n2021-11-30              229   110   988\n2021-12-31              466   111   925\n2022-01-31              753   287  1766\n2022-02-28             1095   549  2362\n2022-03-31              520   176  1242\n2022-04-30              395   125   849\n2022-05-31              363    99   771\n2022-06-30              233    65   433",
      "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 tr th {\n        text-align: left;\n    }\n\n    .dataframe thead tr:last-of-type th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th>isStartMedicalRecord</th>\n      <th>False</th>\n      <th colspan=\"2\" halign=\"left\">True</th>\n    </tr>\n    <tr>\n      <th>isFinishMedicalRecord</th>\n      <th>False</th>\n      <th>False</th>\n      <th>True</th>\n    </tr>\n    <tr>\n      <th>createdAt</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2020-11-30</th>\n      <td>169</td>\n      <td>9</td>\n      <td>78</td>\n    </tr>\n    <tr>\n      <th>2020-12-31</th>\n      <td>226</td>\n      <td>16</td>\n      <td>147</td>\n    </tr>\n    <tr>\n      <th>2021-01-31</th>\n      <td>149</td>\n      <td>388</td>\n      <td>842</td>\n    </tr>\n    <tr>\n      <th>2021-02-28</th>\n      <td>238</td>\n      <td>164</td>\n      <td>606</td>\n    </tr>\n    <tr>\n      <th>2021-03-31</th>\n      <td>652</td>\n      <td>453</td>\n      <td>2262</td>\n    </tr>\n    <tr>\n      <th>2021-04-30</th>\n      <td>250</td>\n      <td>118</td>\n      <td>1141</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>269</td>\n      <td>144</td>\n      <td>1106</td>\n    </tr>\n    <tr>\n      <th>2021-06-30</th>\n      <td>283</td>\n      <td>150</td>\n      <td>1012</td>\n    </tr>\n    <tr>\n      <th>2021-07-31</th>\n      <td>227</td>\n      <td>127</td>\n      <td>883</td>\n    </tr>\n    <tr>\n      <th>2021-08-31</th>\n      <td>196</td>\n      <td>111</td>\n      <td>912</td>\n    </tr>\n    <tr>\n      <th>2021-09-30</th>\n      <td>223</td>\n      <td>142</td>\n      <td>1254</td>\n    </tr>\n    <tr>\n      <th>2021-10-31</th>\n      <td>224</td>\n      <td>112</td>\n      <td>1176</td>\n    </tr>\n    <tr>\n      <th>2021-11-30</th>\n      <td>229</td>\n      <td>110</td>\n      <td>988</td>\n    </tr>\n    <tr>\n      <th>2021-12-31</th>\n      <td>466</td>\n      <td>111</td>\n      <td>925</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>753</td>\n      <td>287</td>\n      <td>1766</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>1095</td>\n      <td>549</td>\n      <td>2362</td>\n    </tr>\n    <tr>\n      <th>2022-03-31</th>\n      <td>520</td>\n      <td>176</td>\n      <td>1242</td>\n    </tr>\n    <tr>\n      <th>2022-04-30</th>\n      <td>395</td>\n      <td>125</td>\n      <td>849</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>363</td>\n      <td>99</td>\n      <td>771</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>233</td>\n      <td>65</td>\n      <td>433</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "pd.pivot_table(data = df, index=pd.Grouper(key=\"createdAt\", freq=\"M\"), columns=[\"isStartMedicalRecord\",\"isFinishMedicalRecord\"], values=\"fullName\", aggfunc=\"count\", fill_value= 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 46.9 ms\n",
      "Wall time: 46.9 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": "isStartMedicalRecord  False  True\ncreatedAt                        \n2020-11-30              169    87\n2020-12-31              226   163\n2021-01-31              149  1230\n2021-02-28              238   770\n2021-03-31              652  2715\n2021-04-30              250  1259\n2021-05-31              269  1250\n2021-06-30              283  1162\n2021-07-31              227  1010\n2021-08-31              196  1023\n2021-09-30              223  1396\n2021-10-31              224  1288\n2021-11-30              229  1098\n2021-12-31              466  1036\n2022-01-31              753  2053\n2022-02-28             1095  2911\n2022-03-31              520  1418\n2022-04-30              395   974\n2022-05-31              363   870\n2022-06-30              233   498",
      "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>isStartMedicalRecord</th>\n      <th>False</th>\n      <th>True</th>\n    </tr>\n    <tr>\n      <th>createdAt</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2020-11-30</th>\n      <td>169</td>\n      <td>87</td>\n    </tr>\n    <tr>\n      <th>2020-12-31</th>\n      <td>226</td>\n      <td>163</td>\n    </tr>\n    <tr>\n      <th>2021-01-31</th>\n      <td>149</td>\n      <td>1230</td>\n    </tr>\n    <tr>\n      <th>2021-02-28</th>\n      <td>238</td>\n      <td>770</td>\n    </tr>\n    <tr>\n      <th>2021-03-31</th>\n      <td>652</td>\n      <td>2715</td>\n    </tr>\n    <tr>\n      <th>2021-04-30</th>\n      <td>250</td>\n      <td>1259</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>269</td>\n      <td>1250</td>\n    </tr>\n    <tr>\n      <th>2021-06-30</th>\n      <td>283</td>\n      <td>1162</td>\n    </tr>\n    <tr>\n      <th>2021-07-31</th>\n      <td>227</td>\n      <td>1010</td>\n    </tr>\n    <tr>\n      <th>2021-08-31</th>\n      <td>196</td>\n      <td>1023</td>\n    </tr>\n    <tr>\n      <th>2021-09-30</th>\n      <td>223</td>\n      <td>1396</td>\n    </tr>\n    <tr>\n      <th>2021-10-31</th>\n      <td>224</td>\n      <td>1288</td>\n    </tr>\n    <tr>\n      <th>2021-11-30</th>\n      <td>229</td>\n      <td>1098</td>\n    </tr>\n    <tr>\n      <th>2021-12-31</th>\n      <td>466</td>\n      <td>1036</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>753</td>\n      <td>2053</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>1095</td>\n      <td>2911</td>\n    </tr>\n    <tr>\n      <th>2022-03-31</th>\n      <td>520</td>\n      <td>1418</td>\n    </tr>\n    <tr>\n      <th>2022-04-30</th>\n      <td>395</td>\n      <td>974</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>363</td>\n      <td>870</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>233</td>\n      <td>498</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "pd.pivot_table(data = df, index=pd.Grouper(key=\"createdAt\", freq=\"M\"), columns=[\"isStartMedicalRecord\"], values=\"fullName\", aggfunc=\"count\", fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 62.5 ms\n",
      "Wall time: 58.8 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": "isFinishMedicalRecord  False  True\ncreatedAt                         \n2020-11-30               178    78\n2020-12-31               242   147\n2021-01-31               537   842\n2021-02-28               402   606\n2021-03-31              1105  2262\n2021-04-30               368  1141\n2021-05-31               413  1106\n2021-06-30               433  1012\n2021-07-31               354   883\n2021-08-31               307   912\n2021-09-30               365  1254\n2021-10-31               336  1176\n2021-11-30               339   988\n2021-12-31               577   925\n2022-01-31              1040  1766\n2022-02-28              1644  2362\n2022-03-31               696  1242\n2022-04-30               520   849\n2022-05-31               462   771\n2022-06-30               298   433",
      "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>isFinishMedicalRecord</th>\n      <th>False</th>\n      <th>True</th>\n    </tr>\n    <tr>\n      <th>createdAt</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2020-11-30</th>\n      <td>178</td>\n      <td>78</td>\n    </tr>\n    <tr>\n      <th>2020-12-31</th>\n      <td>242</td>\n      <td>147</td>\n    </tr>\n    <tr>\n      <th>2021-01-31</th>\n      <td>537</td>\n      <td>842</td>\n    </tr>\n    <tr>\n      <th>2021-02-28</th>\n      <td>402</td>\n      <td>606</td>\n    </tr>\n    <tr>\n      <th>2021-03-31</th>\n      <td>1105</td>\n      <td>2262</td>\n    </tr>\n    <tr>\n      <th>2021-04-30</th>\n      <td>368</td>\n      <td>1141</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>413</td>\n      <td>1106</td>\n    </tr>\n    <tr>\n      <th>2021-06-30</th>\n      <td>433</td>\n      <td>1012</td>\n    </tr>\n    <tr>\n      <th>2021-07-31</th>\n      <td>354</td>\n      <td>883</td>\n    </tr>\n    <tr>\n      <th>2021-08-31</th>\n      <td>307</td>\n      <td>912</td>\n    </tr>\n    <tr>\n      <th>2021-09-30</th>\n      <td>365</td>\n      <td>1254</td>\n    </tr>\n    <tr>\n      <th>2021-10-31</th>\n      <td>336</td>\n      <td>1176</td>\n    </tr>\n    <tr>\n      <th>2021-11-30</th>\n      <td>339</td>\n      <td>988</td>\n    </tr>\n    <tr>\n      <th>2021-12-31</th>\n      <td>577</td>\n      <td>925</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>1040</td>\n      <td>1766</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>1644</td>\n      <td>2362</td>\n    </tr>\n    <tr>\n      <th>2022-03-31</th>\n      <td>696</td>\n      <td>1242</td>\n    </tr>\n    <tr>\n      <th>2022-04-30</th>\n      <td>520</td>\n      <td>849</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>462</td>\n      <td>771</td>\n    </tr>\n    <tr>\n      <th>2022-06-30</th>\n      <td>298</td>\n      <td>433</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "pd.pivot_table(data = df, index=pd.Grouper(key=\"createdAt\", freq=\"M\"), columns=[\"isFinishMedicalRecord\"], values=\"fullName\", aggfunc=\"count\", fill_value=0)"
   ]
  }
 ],
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