{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"G:\\Mon Drive\\Ziwig-Health\\Data\\Extract_Prof_Patient_List.xlsx\", header=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "(7728, 9)"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDf = df.set_index('createdAt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDf['count']=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDf['NonStarted']=1-timedDf['isStartMedicalRecord'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDf['NonFinished']=1-timedDf['isFinishMedicalRecord'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDf=timedDf.loc[:, ['isStartMedicalRecord','isFinishMedicalRecord','count','NonStarted','NonFinished']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "timedDfMonthly = timedDf.resample('M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "            isStartMedicalRecord  isFinishMedicalRecord  count  NonStarted  \\\ncreatedAt                                                                    \n2020-11-30                     2                      2      2           0   \n2020-12-31                     3                      3      3           0   \n2021-01-31                    21                     21     21           0   \n2021-02-28                    10                     10     10           0   \n2021-03-31                   348                    323    404          56   \n2021-04-30                   602                    559    712         110   \n2021-05-31                   511                    465    622         111   \n2021-06-30                   406                    372    503          97   \n2021-07-31                   426                    398    498          72   \n2021-08-31                   429                    393    528          99   \n2021-09-30                   561                    517    677         116   \n2021-10-31                   580                    539    696         116   \n2021-11-30                   453                    416    557         104   \n2021-12-31                   480                    447    608         128   \n2022-01-31                   608                    562    786         178   \n2022-02-28                   544                    502    704         160   \n2022-03-31                   286                    255    397         111   \n\n            NonFinished  \ncreatedAt                \n2020-11-30            0  \n2020-12-31            0  \n2021-01-31            0  \n2021-02-28            0  \n2021-03-31           81  \n2021-04-30          153  \n2021-05-31          157  \n2021-06-30          131  \n2021-07-31          100  \n2021-08-31          135  \n2021-09-30          160  \n2021-10-31          157  \n2021-11-30          141  \n2021-12-31          161  \n2022-01-31          224  \n2022-02-28          202  \n2022-03-31          142  ",
      "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>isStartMedicalRecord</th>\n      <th>isFinishMedicalRecord</th>\n      <th>count</th>\n      <th>NonStarted</th>\n      <th>NonFinished</th>\n    </tr>\n    <tr>\n      <th>createdAt</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>2020-11-30</th>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2020-12-31</th>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-01-31</th>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-02-28</th>\n      <td>10</td>\n      <td>10</td>\n      <td>10</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-03-31</th>\n      <td>348</td>\n      <td>323</td>\n      <td>404</td>\n      <td>56</td>\n      <td>81</td>\n    </tr>\n    <tr>\n      <th>2021-04-30</th>\n      <td>602</td>\n      <td>559</td>\n      <td>712</td>\n      <td>110</td>\n      <td>153</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>511</td>\n      <td>465</td>\n      <td>622</td>\n      <td>111</td>\n      <td>157</td>\n    </tr>\n    <tr>\n      <th>2021-06-30</th>\n      <td>406</td>\n      <td>372</td>\n      <td>503</td>\n      <td>97</td>\n      <td>131</td>\n    </tr>\n    <tr>\n      <th>2021-07-31</th>\n      <td>426</td>\n      <td>398</td>\n      <td>498</td>\n      <td>72</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>2021-08-31</th>\n      <td>429</td>\n      <td>393</td>\n      <td>528</td>\n      <td>99</td>\n      <td>135</td>\n    </tr>\n    <tr>\n      <th>2021-09-30</th>\n      <td>561</td>\n      <td>517</td>\n      <td>677</td>\n      <td>116</td>\n      <td>160</td>\n    </tr>\n    <tr>\n      <th>2021-10-31</th>\n      <td>580</td>\n      <td>539</td>\n      <td>696</td>\n      <td>116</td>\n      <td>157</td>\n    </tr>\n    <tr>\n      <th>2021-11-30</th>\n      <td>453</td>\n      <td>416</td>\n      <td>557</td>\n      <td>104</td>\n      <td>141</td>\n    </tr>\n    <tr>\n      <th>2021-12-31</th>\n      <td>480</td>\n      <td>447</td>\n      <td>608</td>\n      <td>128</td>\n      <td>161</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>608</td>\n      <td>562</td>\n      <td>786</td>\n      <td>178</td>\n      <td>224</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>544</td>\n      <td>502</td>\n      <td>704</td>\n      <td>160</td>\n      <td>202</td>\n    </tr>\n    <tr>\n      <th>2022-03-31</th>\n      <td>286</td>\n      <td>255</td>\n      <td>397</td>\n      <td>111</td>\n      <td>142</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timedDfMonthly.sum()"
   ]
  }
 ],
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