school_exams_stat_plots.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# School final exams results analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import math\n",
    "import csv\n",
    "import re\n",
    "from datetime import datetime\n",
    "\n",
    "import os.path\n",
    "from os import path\n",
    "import time\n",
    "\n",
    "from pylab import rcParams\n",
    "plt.rcParams['figure.figsize'] = 16, 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "fontsize_reg = 20\n",
    "fontsize_title = 24\n",
    "from pylab import rcParams\n",
    "plt.rcParams['figure.facecolor'] = '1'\n",
    "plt.rcParams['figure.figsize'] = [9.5, 6.5]\n",
    "plt.rcParams['figure.dpi'] = 80\n",
    "plt.rcParams['savefig.dpi'] = 600\n",
    "\n",
    "plt.rcParams['font.size'] = 20\n",
    "plt.rcParams['legend.fontsize'] = 16\n",
    "plt.rcParams['figure.titlesize'] = 24"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Search for pathes to protocols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['протоколы_2017', 'протоколы_2018', 'протоколы_2019', 'протоколы_2020', 'протоколы_2021', 'протоколы_2022', 'протоколы_2023']\n"
     ]
    }
   ],
   "source": [
    "path_to_protocols = 'протоколы'\n",
    "list_of_protocols_folders = os.listdir(path_to_protocols)\n",
    "print(list_of_protocols_folders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2017\n",
      "Английский язык, Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2018\n",
      "Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, \n",
      "2019\n",
      "Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2020\n",
      "Биология, Информатика, История, Литература, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2021\n",
      "Английский язык, Биология, Информатика, История, Математика, Обществознание, Русский язык, \n",
      "2022\n",
      "Биология, География, Информатика, История, Математика, Обществознание, Русский язык, Химия, \n",
      "2023\n",
      "Английский язык, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, "
     ]
    }
   ],
   "source": [
    "# Create a list of pathes to exam protocols\n",
    "df_protocols = pd.DataFrame()\n",
    "for folder_year in list_of_protocols_folders:\n",
    "    folder_now = path_to_protocols + '/' + folder_year\n",
    "    year_now = folder_year.split('_')[1]\n",
    "    print()\n",
    "    print(year_now)\n",
    "    protocols_now = os.listdir(folder_now)\n",
    "    for protocol in protocols_now:\n",
    "        full_path_to_protocol = folder_now + '/' + protocol\n",
    "        df_protocols = df_protocols.append({\n",
    "            'year': year_now,\n",
    "            'subject': protocol.split('.')[0],\n",
    "            'path': full_path_to_protocol\n",
    "        }, ignore_index=True)\n",
    "        print(protocol.split('.')[0], end=', ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define function for reading protocols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_or_max_points(string_scores, what_return='get'):\n",
    "    '''\n",
    "    Convert string of Part 2 points to resulted point of student\n",
    "    or to maximum possible points of this exam\n",
    "    '''\n",
    "    get_points = 0\n",
    "    max_points = 0\n",
    "    for task_point in string_scores.split(\")\"):\n",
    "        task_point_splitted = task_point.split('(')\n",
    "        if len(task_point_splitted) == 2:\n",
    "            get_points = get_points + int(task_point_splitted[0])\n",
    "            max_points = max_points + int(task_point_splitted[1])\n",
    "    if what_return == 'get':\n",
    "        return get_points\n",
    "    elif what_return == 'max':\n",
    "        return max_points\n",
    "    else:\n",
    "        print('ERROR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "def file_to_points_df(file_path, year, subject):\n",
    "    '''\n",
    "    Read selected file, convert table to conventional DataFrame.\n",
    "    Convert strings of points to one number.\n",
    "    '''\n",
    "    df_pr_now = pd.read_excel(file_path)\n",
    "    header_col_index = list(df_pr_now.iloc[:, 0]).index('№')\n",
    "    df_pr_now.columns = df_pr_now.iloc[header_col_index]\n",
    "    df_pr_now = df_pr_now.drop(index=list(range(0, header_col_index+1)))\n",
    "    df_pr_now = df_pr_now.reset_index(drop='true')\n",
    "    # Keep only valid cols\n",
    "    valid_cols_list = []\n",
    "    for col_now in df_pr_now.columns:\n",
    "        if str(col_now) != 'nan':\n",
    "            valid_cols_list.append(col_now)\n",
    "    df_pr_now = df_pr_now[valid_cols_list]\n",
    "    df_pr_now = df_pr_now[df_pr_now[valid_cols_list[6]].notna()]\n",
    "    df_pr_now['Год'] = str(year)\n",
    "    if subject == 'Английский язык':\n",
    "        df_pr_now['Первичный балл'] = df_pr_now['Тестовый балл']\n",
    "        df_pr_now['Вторичный балл'] = df_pr_now['Первичный балл']\n",
    "        df_pr_now['Вторая часть'] = df_pr_now['Часть с развёрнутым ответом'].apply(\n",
    "            lambda x: get_or_max_points(x, what_return='get')\n",
    "        )\n",
    "        df_pr_now['Первая часть'] = df_pr_now['Первичный балл'] - df_pr_now['Вторая часть']\n",
    "    else: \n",
    "        \n",
    "        df_pr_now['Вторичный балл'] = df_pr_now['Балл']\n",
    "        # Sometimes there is no part 2 in exam\n",
    "        if str(df_pr_now['Задания с развёрнутым ответом'][0]) == 'nan':\n",
    "            df_pr_now['Вторая часть'] = 0\n",
    "        else:\n",
    "            df_pr_now['Вторая часть'] = df_pr_now['Задания с развёрнутым ответом'].apply(\n",
    "                lambda x: get_or_max_points(x, what_return='get'))\n",
    "        df_pr_now['Первая часть'] = df_pr_now['Первичный балл'] - df_pr_now['Вторая часть']\n",
    "    \n",
    "    # Redefine chosen cols if you want\n",
    "    chosen_cols = ['Год', '№', 'Фамилия', 'Первичный балл', 'Вторичный балл', 'Первая часть', 'Вторая часть']\n",
    "    df_pr_now = df_pr_now[chosen_cols]\n",
    "    return df_pr_now"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read protocols and create df of students"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Английский язык 2017;  Биология 2017;  Информатика 2017;  История 2017;  Математика 2017;  Обществознание 2017;  Русский язык 2017;  Физика 2017;  Химия 2017;  Биология 2018;  Информатика 2018;  История 2018;  Математика 2018;  Обществознание 2018;  Русский язык 2018;  Физика 2018;  Биология 2019;  Информатика 2019;  История 2019;  Математика 2019;  Обществознание 2019;  Русский язык 2019;  Физика 2019;  Химия 2019;  Биология 2020;  Информатика 2020;  История 2020;  Литература 2020;  Математика 2020;  Обществознание 2020;  Русский язык 2020;  Физика 2020;  Химия 2020;  Английский язык 2021;  Биология 2021;  Информатика 2021;  История 2021;  Математика 2021;  Обществознание 2021;  Русский язык 2021;  Биология 2022;  География 2022;  Информатика 2022;  История 2022;  Математика 2022;  Обществознание 2022;  Русский язык 2022;  Химия 2022;  Английский язык 2023;  Информатика 2023;  История 2023;  Математика 2023;  Обществознание 2023;  Русский язык 2023;  Физика 2023;  Химия 2023;  "
     ]
    }
   ],
   "source": [
    "# Read every file and convert it to DataFrame, merge all protocols.\n",
    "df_students = pd.DataFrame()\n",
    "for i in range(len(df_protocols)):\n",
    "    file_path_now = df_protocols['path'][i]\n",
    "    year_now = df_protocols['year'][i]\n",
    "    subject_now = df_protocols['subject'][i]\n",
    "    print(subject_now, year_now, end=';  ')\n",
    "    df_pr_now = file_to_points_df(file_path=file_path_now, year=year_now, subject=subject_now)\n",
    "    df_pr_now['Предмет'] = subject_now\n",
    "    df_students = df_students.append(df_pr_now, ignore_index=True)\n",
    "\n",
    "df_students['_0_50'] = df_students['Вторичный балл'].apply(lambda x: 1 if (x < 50) else 0)\n",
    "df_students['_80_100'] = df_students['Вторичный балл'].apply(lambda x: 1 if (x >= 80) else 0)\n",
    "df_students['_50_80'] = (df_students['_0_50'] + df_students['_80_100']).apply(lambda x: 1 if (x == 0) else 0)\n",
    "\n",
    "for i in ['Первичный балл', 'Вторичный балл', 'Первая часть', 'Вторая часть', '_0_50', '_80_100', '_50_80']:\n",
    "    df_students[i] = df_students[i].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "outputs": [
    {
     "data": {
      "text/plain": "      Год   №               Фамилия  Первичный балл  Вторичный балл  \\\n0    2017   1   3234767257966344486            70.0            70.0   \n1    2017   1   2919435889582831962            30.0            55.0   \n2    2017   2  -1688253406630459826            19.0            40.0   \n3    2017   3  -5239977478542876692            11.0            25.0   \n4    2017   4  -7503773516988093626            22.0            44.0   \n..    ...  ..                   ...             ...             ...   \n332  2023  13  -8549379704923291191            21.0            43.0   \n333  2023   1   1466205592079574297             9.0            33.0   \n334  2023   2   3158436274217028272            12.0            39.0   \n335  2023   3  -7137134480264389403            11.0            38.0   \n336  2023   1   3158436274217028272             4.0            14.0   \n\n     Первая часть  Вторая часть          Предмет  _0_50  _80_100  _50_80  \\\n0            58.0          12.0  Английский язык    0.0      0.0     1.0   \n1            22.0           8.0         Биология    0.0      0.0     1.0   \n2            15.0           4.0         Биология    1.0      0.0     0.0   \n3            10.0           1.0         Биология    1.0      0.0     0.0   \n4            17.0           5.0         Биология    1.0      0.0     0.0   \n..            ...           ...              ...    ...      ...     ...   \n332           7.0          14.0     Русский язык    1.0      0.0     0.0   \n333           9.0           0.0           Физика    1.0      0.0     0.0   \n334          12.0           0.0           Физика    1.0      0.0     0.0   \n335          11.0           0.0           Физика    1.0      0.0     0.0   \n336           4.0           0.0            Химия    1.0      0.0     0.0   \n\n                           id  \n0     32347672579663444862017  \n1     29194358895828319622017  \n2    -16882534066304598262017  \n3    -52399774785428766922017  \n4    -75037735169880936262017  \n..                        ...  \n332  -85493797049232911912023  \n333   14662055920795742972023  \n334   31584362742170282722023  \n335  -71371344802643894032023  \n336   31584362742170282722023  \n\n[337 rows x 12 columns]",
      "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>Год</th>\n      <th>№</th>\n      <th>Фамилия</th>\n      <th>Первичный балл</th>\n      <th>Вторичный балл</th>\n      <th>Первая часть</th>\n      <th>Вторая часть</th>\n      <th>Предмет</th>\n      <th>_0_50</th>\n      <th>_80_100</th>\n      <th>_50_80</th>\n      <th>id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2017</td>\n      <td>1</td>\n      <td>3234767257966344486</td>\n      <td>70.0</td>\n      <td>70.0</td>\n      <td>58.0</td>\n      <td>12.0</td>\n      <td>Английский язык</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>32347672579663444862017</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2017</td>\n      <td>1</td>\n      <td>2919435889582831962</td>\n      <td>30.0</td>\n      <td>55.0</td>\n      <td>22.0</td>\n      <td>8.0</td>\n      <td>Биология</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>29194358895828319622017</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2017</td>\n      <td>2</td>\n      <td>-1688253406630459826</td>\n      <td>19.0</td>\n      <td>40.0</td>\n      <td>15.0</td>\n      <td>4.0</td>\n      <td>Биология</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-16882534066304598262017</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2017</td>\n      <td>3</td>\n      <td>-5239977478542876692</td>\n      <td>11.0</td>\n      <td>25.0</td>\n      <td>10.0</td>\n      <td>1.0</td>\n      <td>Биология</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-52399774785428766922017</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2017</td>\n      <td>4</td>\n      <td>-7503773516988093626</td>\n      <td>22.0</td>\n      <td>44.0</td>\n      <td>17.0</td>\n      <td>5.0</td>\n      <td>Биология</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-75037735169880936262017</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    </tr>\n    <tr>\n      <th>332</th>\n      <td>2023</td>\n      <td>13</td>\n      <td>-8549379704923291191</td>\n      <td>21.0</td>\n      <td>43.0</td>\n      <td>7.0</td>\n      <td>14.0</td>\n      <td>Русский язык</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-85493797049232911912023</td>\n    </tr>\n    <tr>\n      <th>333</th>\n      <td>2023</td>\n      <td>1</td>\n      <td>1466205592079574297</td>\n      <td>9.0</td>\n      <td>33.0</td>\n      <td>9.0</td>\n      <td>0.0</td>\n      <td>Физика</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>14662055920795742972023</td>\n    </tr>\n    <tr>\n      <th>334</th>\n      <td>2023</td>\n      <td>2</td>\n      <td>3158436274217028272</td>\n      <td>12.0</td>\n      <td>39.0</td>\n      <td>12.0</td>\n      <td>0.0</td>\n      <td>Физика</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>31584362742170282722023</td>\n    </tr>\n    <tr>\n      <th>335</th>\n      <td>2023</td>\n      <td>3</td>\n      <td>-7137134480264389403</td>\n      <td>11.0</td>\n      <td>38.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>Физика</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-71371344802643894032023</td>\n    </tr>\n    <tr>\n      <th>336</th>\n      <td>2023</td>\n      <td>1</td>\n      <td>3158436274217028272</td>\n      <td>4.0</td>\n      <td>14.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>Химия</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>31584362742170282722023</td>\n    </tr>\n  </tbody>\n</table>\n<p>337 rows × 12 columns</p>\n</div>"
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_students"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "            Предмет   Год  Учащихся  Первая_часть_средний  \\\n32   Обществознание  2017        11                  21.9   \n26       Математика  2018         8                   7.6   \n16      Информатика  2023         4                   7.5   \n0   Английский язык  2017         1                  58.0   \n29       Математика  2021         4                   8.0   \n\n    Вторая_часть_средний  Средний  Макс  _0_50  _50_80  _80_100  \n32                   9.2     55.5  84.0    3.0     7.0      1.0  \n26                   0.9     40.0  76.0    5.0     3.0      0.0  \n16                   0.0     41.2  62.0    3.0     1.0      0.0  \n0                   12.0     70.0  70.0    0.0     1.0      0.0  \n29                   2.5     49.2  76.0    2.0     2.0      0.0  ",
      "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>Предмет</th>\n      <th>Год</th>\n      <th>Учащихся</th>\n      <th>Первая_часть_средний</th>\n      <th>Вторая_часть_средний</th>\n      <th>Средний</th>\n      <th>Макс</th>\n      <th>_0_50</th>\n      <th>_50_80</th>\n      <th>_80_100</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>32</th>\n      <td>Обществознание</td>\n      <td>2017</td>\n      <td>11</td>\n      <td>21.9</td>\n      <td>9.2</td>\n      <td>55.5</td>\n      <td>84.0</td>\n      <td>3.0</td>\n      <td>7.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>Математика</td>\n      <td>2018</td>\n      <td>8</td>\n      <td>7.6</td>\n      <td>0.9</td>\n      <td>40.0</td>\n      <td>76.0</td>\n      <td>5.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>Информатика</td>\n      <td>2023</td>\n      <td>4</td>\n      <td>7.5</td>\n      <td>0.0</td>\n      <td>41.2</td>\n      <td>62.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>Английский язык</td>\n      <td>2017</td>\n      <td>1</td>\n      <td>58.0</td>\n      <td>12.0</td>\n      <td>70.0</td>\n      <td>70.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>Математика</td>\n      <td>2021</td>\n      <td>4</td>\n      <td>8.0</td>\n      <td>2.5</td>\n      <td>49.2</td>\n      <td>76.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_subjects = df_students.groupby(['Предмет', 'Год'], as_index=False).agg(\n",
    "    Учащихся = ('№', 'count'),\n",
    "    Первая_часть_средний = ('Первая часть', 'mean'),\n",
    "    Вторая_часть_средний = ('Вторая часть', 'mean'),\n",
    "    Средний = ('Вторичный балл', 'mean'),\n",
    "    Макс = ('Вторичный балл', 'max'),\n",
    "    _0_50 = ('_0_50', 'sum'),\n",
    "    _50_80 = ('_50_80', 'sum'),\n",
    "    _80_100 = ('_80_100', 'sum'),\n",
    ")\n",
    "for i in ['Первая_часть_средний', 'Вторая_часть_средний', 'Средний', 'Макс']:\n",
    "    df_subjects[i] = df_subjects[i].apply(lambda x: round(x, 1))\n",
    "\n",
    "df_subjects.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "fontsize_reg = 20\n",
    "fontsize_title = 24\n",
    "from pylab import rcParams\n",
    "plt.rcParams['figure.facecolor'] = '1'\n",
    "plt.rcParams['figure.figsize'] = [10, 6.5]\n",
    "plt.rcParams['figure.dpi'] = 80\n",
    "plt.rcParams['savefig.dpi'] = 600\n",
    "\n",
    "plt.rcParams['font.size'] = 20\n",
    "plt.rcParams['legend.fontsize'] = 16\n",
    "plt.rcParams['figure.titlesize'] = 24"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "blue_color = '#9DC3E6'\n",
    "grey_color = '#BFBFBF'\n",
    "orange_color = '#F4B183'\n",
    "almost_black_color = '#404040'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot the number of student participated in each exam for each year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "to_plot = df_subjects.groupby(['Предмет', 'Год'], as_index=False)['Учащихся'].agg('sum').pivot(\n",
    "    index='Предмет', columns='Год', values='Учащихся', \n",
    ").fillna(0).sort_values('2023', ascending=False)\n",
    "sns.heatmap(\n",
    "    to_plot, cmap='Blues', annot=True, xticklabels=to_plot.columns\n",
    ")\n",
    "plt.title('Учащихся по годам и предметам')\n",
    "plt.savefig('plots/' + 'heatmap_subjects'  + '.png', bbox_inches = \"tight\", dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "order_columns = list(to_plot.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "to_plot = df_subjects.groupby(['Предмет', 'Год'], as_index=False)['Средний'].agg('mean').pivot(\n",
    "    index='Предмет', columns='Год', values='Средний', \n",
    ").fillna(0).loc[order_columns]\n",
    "sns.heatmap(\n",
    "    to_plot, cmap='Blues', annot=True, xticklabels=to_plot.columns\n",
    ")\n",
    "plt.title('Средний балл по годам и предметам')\n",
    "plt.savefig('plots/' + 'heatmap_subjects_mean'  + '.png', bbox_inches = \"tight\", dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "to_plot = df_subjects.groupby(['Предмет', 'Год'], as_index=False)['Макс'].agg('max').pivot(\n",
    "    index='Предмет', columns='Год', values='Макс', \n",
    ").fillna(0).loc[order_columns]\n",
    "sns.heatmap(\n",
    "    to_plot, cmap='Blues', annot=True, xticklabels=to_plot.columns\n",
    ")\n",
    "plt.title('Максимальный балл по годам и предметам')\n",
    "plt.savefig('plots/' + 'heatmap_subjects_max'  + '.png', bbox_inches = \"tight\", dpi=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bar plots of mean and max points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_mean_max_dynamics(df_subjects, subject_now, show_plot=True, save_plot=True):\n",
    "    '''\n",
    "    Plot the changes in mean and max points of selected exam over years\n",
    "    '''\n",
    "    subject_now = subject_now\n",
    "    data_to_plot = df_subjects[df_subjects['Предмет'] == subject_now].sort_values(by='Год', ascending=False)\n",
    "    fig, ax = plt.subplots()\n",
    "    plt.title(subject_now + '\\n' + 'Динамика среднего и максимального баллов', loc='left')\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ind = np.arange(len(data_to_plot))\n",
    "    height = 0.4\n",
    "\n",
    "    \n",
    "    secondary_bars = ax.barh(\n",
    "        width=data_to_plot['Макс'], label='Макс', \n",
    "        height=height, color=grey_color, y=ind + height/2)\n",
    "    \n",
    "    primary_bars = ax.barh(\n",
    "        width=data_to_plot['Средний'], label='Средний', \n",
    "        height=height, color=blue_color, y=ind - height/2)\n",
    "\n",
    "    plt.yticks(ticks=list(range(len(data_to_plot['Год']))), labels=data_to_plot['Год'], rotation=0)\n",
    "    plt.legend(bbox_to_anchor=(0.25, -0.15), loc='center', ncol=2)\n",
    "#     ax.text(x=data_to_plot['Макс'].max(), y=-0.5, s=subject_now, fontsize=12, c='#999999',\n",
    "#             horizontalalignment='right', verticalalignment='bottom')\n",
    "\n",
    "    for i, v in enumerate(data_to_plot['Средний']):\n",
    "        if str(v)[-2:] == '.0':\n",
    "            value_to_show = int(round(v, 0))\n",
    "        else:\n",
    "            value_to_show = round(v, 1)\n",
    "        ax.text(v + 0.1, i - height/2, str(value_to_show), fontsize=16,\n",
    "               horizontalalignment='left', verticalalignment='center')\n",
    "\n",
    "    for i, v in enumerate(data_to_plot['Макс']):\n",
    "        if str(v)[-2:] == '.0':\n",
    "            value_to_show = int(round(v, 0))\n",
    "        else:\n",
    "            value_to_show = round(v, 1)\n",
    "        ax.text(v + 0.1, i + height/2, str(value_to_show), fontsize=16,\n",
    "               horizontalalignment='left', verticalalignment='center')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    if save_plot:\n",
    "        plt.savefig('plots/' + subject_now + ' динамика ср и макс'  + '.png', bbox_inches = \"tight\", dpi=600)\n",
    "        \n",
    "    if show_plot:\n",
    "        plt.show()\n",
    "    else:\n",
    "        plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_mean_max_dynamics(df_subjects, subject_now='Русский язык', show_plot=True, save_plot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Английский язык', 'Информатика', 'История', 'Математика', 'Обществознание', 'Русский язык', 'Физика', 'Химия']\n"
     ]
    }
   ],
   "source": [
    "subjects_last_year = list(df_subjects[df_subjects['Год'].astype(str) == str(df_subjects['Год'].max())]['Предмет'].unique())\n",
    "print(subjects_last_year)\n",
    "\n",
    "for subject_now in subjects_last_year:\n",
    "    plot_mean_max_dynamics(df_subjects, subject_now=subject_now, show_plot=False, save_plot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stacked bar of points per first and second exam parts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "def points_part_1_2_plot(df_subjects, subject_now, show_plot=True, save_plot=True):\n",
    "    '''\n",
    "    Plots the mean point of Part 1 and Part of selected exam over years\n",
    "    '''\n",
    "    subject_now = subject_now\n",
    "    data_to_plot = df_subjects[df_subjects['Предмет'] == subject_now].sort_values(by='Год', ascending=True)\n",
    "\n",
    "    ax = data_to_plot[['Первая_часть_средний', 'Вторая_часть_средний']].plot(\n",
    "        stacked=True, kind='bar', rot='horizontal', \n",
    "        color=[grey_color, blue_color], width=0.8)\n",
    "    \n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "\n",
    "    plt.title(subject_now + '\\n' + 'Распределение первичных баллов', loc='left')\n",
    "\n",
    "    plt.xticks(ticks=list(range(len(data_to_plot['Год']))), labels=data_to_plot['Год'], rotation=0)\n",
    "    # .patches is everything inside of the chart\n",
    "    for rect in ax.patches:\n",
    "        # Find where everything is located\n",
    "        height = rect.get_height()\n",
    "        width = rect.get_width()\n",
    "        x = rect.get_x()\n",
    "        y = rect.get_y()\n",
    "\n",
    "        # The height of the bar is the data value and can be used as the label\n",
    "        label_text = f'{height}'  # f'{height:.2f}' to format decimal values\n",
    "\n",
    "        # ax.text(x, y, text)\n",
    "        label_x = x + width / 2\n",
    "        label_y = y + height / 2\n",
    "\n",
    "        # plot only when height is greater than specified value\n",
    "        if height > 0:\n",
    "            ax.text(label_x, label_y, round(float(label_text), 1), ha='center', va='center')\n",
    "\n",
    "    plt.legend(bbox_to_anchor=(0, -0.25), loc='lower left', ncol=2)\n",
    "    ax.set_ylabel(\"Первичный балл\")\n",
    "    \n",
    "    ax.set_axisbelow(True)\n",
    "    plt.grid(axis='y')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    if save_plot:\n",
    "        plt.savefig('plots/'+ subject_now + ' распред части'  + '.png', bbox_inches = \"tight\", dpi=600)\n",
    "        \n",
    "    if show_plot:\n",
    "        plt.show()\n",
    "    else:\n",
    "        plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points_part_1_2_plot(df_subjects, subject_now='Русский язык', show_plot=True, save_plot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Английский язык', 'Информатика', 'История', 'Математика', 'Обществознание', 'Русский язык', 'Физика', 'Химия']\n"
     ]
    }
   ],
   "source": [
    "subjects_last_year = list(df_subjects[df_subjects['Год'].astype(str) == str(df_subjects['Год'].max())]['Предмет'].unique())\n",
    "print(subjects_last_year)\n",
    "\n",
    "for subject_now in subjects_last_year:\n",
    "    points_part_1_2_plot(df_subjects, subject_now=subject_now, show_plot=False, save_plot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Histograms of points for chosen year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hist_one_subject_year(df_students, subject_now, year_now, show_plot=True, save_plot=True):\n",
    "    '''\n",
    "    Plot the histogram of point for selected subject of one year\n",
    "    '''\n",
    "    subject_now = subject_now\n",
    "    year_now = year_now\n",
    "    data_to_plot = df_students[\n",
    "        (df_students['Предмет'] == subject_now)\n",
    "        & (df_students['Год'].astype(str) == str(year_now))\n",
    "    ].sort_values(by='Год', ascending=True)\n",
    "\n",
    "    bins=list(range(0, 101, 10))\n",
    "\n",
    "    ax = data_to_plot['Вторичный балл'].plot(kind='hist', bins=bins, edgecolor='white')\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.set_xlim(0, 100)\n",
    "    # plt.grid(axis='x')\n",
    "    plt.xticks(ticks=bins, labels=bins, rotation=0)\n",
    "\n",
    "    plt.title(subject_now + ', ' + str(year_now) + '\\n' + 'Гистограмма учащихся по баллу ЕГЭ', loc='left')\n",
    "    plt.xlabel('Вторичный балл')\n",
    "    plt.ylabel('Учащихся')\n",
    "\n",
    "    for i in range(0, 5):\n",
    "        ax.patches[i].set_color(orange_color)\n",
    "        ax.patches[i].set_edgecolor('white')\n",
    "    for i in range(5, 8):\n",
    "        ax.patches[i].set_color(grey_color)\n",
    "        ax.patches[i].set_edgecolor('white')\n",
    "    for i in range(8, 10):\n",
    "        ax.patches[i].set_color(blue_color)\n",
    "        ax.patches[i].set_edgecolor('white')\n",
    "        \n",
    "    plt.tight_layout()\n",
    "    if save_plot:\n",
    "        plt.savefig('plots/'+ subject_now + ' Гистограмма одна'  + '.png', bbox_inches = \"tight\", dpi=600)\n",
    "        \n",
    "    if show_plot:\n",
    "        plt.show()\n",
    "    else:\n",
    "        plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist_one_subject_year(df_students, subject_now='Русский язык', year_now='2022', show_plot=True, save_plot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Английский язык', 'Информатика', 'История', 'Математика', 'Обществознание', 'Русский язык', 'Физика', 'Химия']\n"
     ]
    }
   ],
   "source": [
    "subjects_last_year = list(df_subjects[df_subjects['Год'].astype(str) == str(df_subjects['Год'].max())]['Предмет'].unique())\n",
    "print(subjects_last_year)\n",
    "\n",
    "for subject_now in subjects_last_year:\n",
    "    hist_one_subject_year(df_students, subject_now, year_now, show_plot=False, save_plot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distribution of points several years (-50, 50-80, 80+)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_mean_max_dynamics(df_subjects, subject_now, show_plot=True, save_plot=True):\n",
    "    '''\n",
    "    Plot handcrafted histograms of points for one subject over years\n",
    "    '''\n",
    "    subject_now = subject_now\n",
    "    data_to_plot = df_subjects[df_subjects['Предмет'] == subject_now].sort_values(by='Год', ascending=True)\n",
    "    fig, ax = plt.subplots()\n",
    "    plt.title(subject_now + '\\n' + 'Распределение учащихся по баллам ЕГЭ', loc='left')\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ind = np.arange(len(data_to_plot))\n",
    "    width = 0.25\n",
    "    minus_const = 0.025\n",
    "\n",
    "    _0_50 = ax.bar(label='0_50', height=data_to_plot['_0_50'], width=width-minus_const, x=ind - width, color=orange_color)\n",
    "    _50_80 = ax.bar(label='50_80', height=data_to_plot['_50_80'], width=width-minus_const, x=ind, color=grey_color)\n",
    "    _80_100 = ax.bar(label='80_100', height=data_to_plot['_80_100'], width=width-minus_const, x=ind + width, color=blue_color)\n",
    "\n",
    "    plt.xticks(ticks=list(range(len(data_to_plot['Год']))), labels=data_to_plot['Год'], rotation=0)\n",
    "    plt.legend(bbox_to_anchor=(0.5, -0.15), loc='center', ncol=3)\n",
    "\n",
    "    for i, v in enumerate(data_to_plot['_0_50']):\n",
    "        if str(v)[-2:] == '.0':\n",
    "            value_to_show = int(round(v, 0))\n",
    "        else:\n",
    "            value_to_show = round(v, 1)\n",
    "        ax.text(i - width, v, str(value_to_show), fontsize=16,\n",
    "               horizontalalignment='center', verticalalignment='bottom')\n",
    "\n",
    "    for i, v in enumerate(data_to_plot['_50_80']):\n",
    "        if str(v)[-2:] == '.0':\n",
    "            value_to_show = int(round(v, 0))\n",
    "        else:\n",
    "            value_to_show = round(v, 1)\n",
    "        ax.text(i, v, str(value_to_show), fontsize=16,\n",
    "               horizontalalignment='center', verticalalignment='bottom')\n",
    "        \n",
    "    for i, v in enumerate(data_to_plot['_80_100']):\n",
    "        if str(v)[-2:] == '.0':\n",
    "            value_to_show = int(round(v, 0))\n",
    "        else:\n",
    "            value_to_show = round(v, 1)\n",
    "        ax.text(i + width, v, str(value_to_show), fontsize=16,\n",
    "               horizontalalignment='center', verticalalignment='bottom')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    if save_plot:\n",
    "        plt.savefig('plots/' + subject_now + ' распред баллов по годам'  + '.png', bbox_inches = \"tight\", dpi=600)\n",
    "        \n",
    "    if show_plot:\n",
    "        plt.show()\n",
    "    else:\n",
    "        plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x520 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_mean_max_dynamics(df_subjects, subject_now='Русский язык', show_plot=True, save_plot=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Английский язык', 'Информатика', 'История', 'Математика', 'Обществознание', 'Русский язык', 'Физика', 'Химия']\n"
     ]
    }
   ],
   "source": [
    "subjects_last_year = list(df_subjects[df_subjects['Год'].astype(str) == str(df_subjects['Год'].max())]['Предмет'].unique())\n",
    "print(subjects_last_year)\n",
    "\n",
    "for subject_now in subjects_last_year:\n",
    "    plot_mean_max_dynamics(df_subjects, subject_now=subject_now, show_plot=False, save_plot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparing school points with mean russia results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "russia_means_2021 = [\n",
    "    [\"Математика\", 55.1], \n",
    "    [\"Русский язык\", 71.4], \n",
    "    [\"Физика\", 55.1], \n",
    "    [\"Обществознание\", 56.4], \n",
    "    [\"Литература\", 66.0], \n",
    "    [\"Химия\", 53.8], \n",
    "    [\"Информатика\", 62.8], \n",
    "    [\"Биология\", 51.1], \n",
    "    [\"История\", 54.9], \n",
    "    [\"Английский язык\", 72.2],\n",
    "]\n",
    "russia_means_2022 = [\n",
    "    [\"Математика\", 56.9], \n",
    "    [\"Русский язык\", 68.3], \n",
    "    [\"Физика\", 54.1], \n",
    "    [\"Обществознание\", 59.9], \n",
    "    [\"Литература\", 60.8], \n",
    "    [\"Химия\", 54.3], \n",
    "    [\"Информатика\", 59.5], \n",
    "    [\"География\", 54.6], \n",
    "    [\"Биология\", 50.2], \n",
    "    [\"История\", 58.0], \n",
    "    [\"Английский язык\", 73.3],\n",
    "]\n",
    "russia_means_2023 = [\n",
    "    [\"Математика\", 55.6],\n",
    "    [\"Русский язык\", 68.4],\n",
    "    [\"Физика\", 54.85],\n",
    "    [\"Обществознание\", 56.4],\n",
    "    [\"Литература\", 64.0],\n",
    "    [\"Химия\", 56.2],\n",
    "    [\"Информатика\", 58.4],\n",
    "    [\"География\", 54.6],\n",
    "    [\"Биология\", 50.9],\n",
    "    [\"История\", 56.4],\n",
    "    [\"Английский язык\", 66.3],\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python37\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": "            Предмет   Год  Средний  Макс          Чей\n65          История  2023     56.4   NaN  Россия 2023\n66  Английский язык  2023     66.3   NaN  Россия 2023",
      "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>Предмет</th>\n      <th>Год</th>\n      <th>Средний</th>\n      <th>Макс</th>\n      <th>Чей</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>65</th>\n      <td>История</td>\n      <td>2023</td>\n      <td>56.4</td>\n      <td>NaN</td>\n      <td>Россия 2023</td>\n    </tr>\n    <tr>\n      <th>66</th>\n      <td>Английский язык</td>\n      <td>2023</td>\n      <td>66.3</td>\n      <td>NaN</td>\n      <td>Россия 2023</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_compare_russia = df_subjects[['Предмет', 'Год', 'Средний', 'Макс']]\n",
    "df_compare_russia['Чей'] = ' Школа - ' + df_compare_russia['Год']\n",
    "\n",
    "for subject_now_mean in russia_means_2023:\n",
    "    df_compare_russia = df_compare_russia.append({\n",
    "        'Предмет': subject_now_mean[0],\n",
    "        'Год': '2023',\n",
    "        'Средний': subject_now_mean[1],\n",
    "        'Чей': 'Россия 2023'\n",
    "    }, ignore_index=True)\n",
    "\n",
    "df_compare_russia.sort_values(by='Чей').tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_compare_russia = df_compare_russia[df_compare_russia['Год'] != '2017']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Год              2017  2018  2019  2020   2021  2022  2023\nПредмет                                                   \nРусский язык     98.0  87.0  87.0  87.0   90.0  89.0  85.0\nОбществознание   84.0  62.0  60.0  53.0   56.0  82.0  64.0\nМатематика       84.0  76.0  74.0  50.0   76.0  58.0  46.0\nИнформатика      42.0  77.0  61.0  42.0  100.0  46.0  62.0\nИстория          50.0  41.0  55.0  58.0   42.0  84.0  38.0\nФизика           49.0  41.0  64.0  48.0    0.0   0.0  39.0\nАнглийский язык  70.0   0.0   0.0   0.0   54.0   0.0  66.0\nХимия            46.0   0.0  42.0  70.0    0.0  49.0  14.0\nБиология         55.0  46.0  57.0  47.0   36.0  71.0   0.0\nГеография         0.0   0.0   0.0   0.0    0.0  88.0   0.0\nЛитература        0.0   0.0   0.0  65.0    0.0   0.0   0.0",
      "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>Год</th>\n      <th>2017</th>\n      <th>2018</th>\n      <th>2019</th>\n      <th>2020</th>\n      <th>2021</th>\n      <th>2022</th>\n      <th>2023</th>\n    </tr>\n    <tr>\n      <th>Предмет</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>Русский язык</th>\n      <td>98.0</td>\n      <td>87.0</td>\n      <td>87.0</td>\n      <td>87.0</td>\n      <td>90.0</td>\n      <td>89.0</td>\n      <td>85.0</td>\n    </tr>\n    <tr>\n      <th>Обществознание</th>\n      <td>84.0</td>\n      <td>62.0</td>\n      <td>60.0</td>\n      <td>53.0</td>\n      <td>56.0</td>\n      <td>82.0</td>\n      <td>64.0</td>\n    </tr>\n    <tr>\n      <th>Математика</th>\n      <td>84.0</td>\n      <td>76.0</td>\n      <td>74.0</td>\n      <td>50.0</td>\n      <td>76.0</td>\n      <td>58.0</td>\n      <td>46.0</td>\n    </tr>\n    <tr>\n      <th>Информатика</th>\n      <td>42.0</td>\n      <td>77.0</td>\n      <td>61.0</td>\n      <td>42.0</td>\n      <td>100.0</td>\n      <td>46.0</td>\n      <td>62.0</td>\n    </tr>\n    <tr>\n      <th>История</th>\n      <td>50.0</td>\n      <td>41.0</td>\n      <td>55.0</td>\n      <td>58.0</td>\n      <td>42.0</td>\n      <td>84.0</td>\n      <td>38.0</td>\n    </tr>\n    <tr>\n      <th>Физика</th>\n      <td>49.0</td>\n      <td>41.0</td>\n      <td>64.0</td>\n      <td>48.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>39.0</td>\n    </tr>\n    <tr>\n      <th>Английский язык</th>\n      <td>70.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>66.0</td>\n    </tr>\n    <tr>\n      <th>Химия</th>\n      <td>46.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>70.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>14.0</td>\n    </tr>\n    <tr>\n      <th>Биология</th>\n      <td>55.0</td>\n      <td>46.0</td>\n      <td>57.0</td>\n      <td>47.0</td>\n      <td>36.0</td>\n      <td>71.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>География</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>88.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Литература</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>65.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 760x600 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_plot = df_compare_russia.pivot(index='Предмет', columns='Чей', values='Средний').dropna()\n",
    "for col_now in to_plot.columns:\n",
    "    to_plot[col_now] = to_plot[col_now] - to_plot['Россия 2023']\n",
    "    \n",
    "list_cols_now = list(to_plot.columns)\n",
    "list_cols_now.remove('Россия 2023')\n",
    "\n",
    "ax = to_plot[list_cols_now].plot(\n",
    "    kind='barh', color=['#EEEEEE', '#DDDDDD', '#BBBBBB', '#888888', '#777777', '#555555', '#2B6198'],\n",
    "    width=0.9,\n",
    "    figsize=(9.5, 7.5)\n",
    ")\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.axvline(x=0, color = '#2B6198')\n",
    "plt.title('Разница средних баллов ЕГЭ по предметам' + '\\n' + 'за 6 лет в сравнении с Россией', loc='left')\n",
    "plt.xlabel('Вторичный балл')\n",
    "plt.legend(bbox_to_anchor=(0.35, -0.20), loc='center', ncol=3)\n",
    "plt.grid()\n",
    "plt.savefig('plots/' + 'Разница средних баллов ЕГЭ по предметам'  + '.png', bbox_inches = \"tight\", dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 760x600 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_plot = df_compare_russia.pivot(index='Предмет', columns='Чей', values='Средний').dropna()\n",
    "# for col_now in to_plot.columns:\n",
    "#     to_plot[col_now] = to_plot[col_now] - to_plot['Россия 2021']\n",
    "ax = to_plot.plot(\n",
    "    kind='barh', color=['#DDDDDD', '#CCCCCC', '#AAAAAA', '#888888', '#777777', '#666666', '#2B6198', '#FF780A'],\n",
    "    width=0.7,\n",
    "    figsize=(9.5, 7.5)\n",
    ")\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.title('Средние баллы ЕГЭ по предметам' + '\\n' + 'за 6 лет в сравнении с Россией', loc='left')\n",
    "plt.xlabel('Вторичный балл')\n",
    "plt.legend(bbox_to_anchor=(0.35, -0.20), loc='center', ncol=3)\n",
    "plt.grid()\n",
    "plt.savefig('plots/' + subject_now + 'Средние баллы ЕГЭ по предметам'  + '.png', bbox_inches = \"tight\", dpi=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation analysis between pair of subjects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Предмет                   Английский язык  Биология  География  Информатика  \\\nid                                                                            \n-11123454891628276492017              NaN       NaN        NaN          NaN   \n-15204242704378521382017              NaN       NaN        NaN          NaN   \n-16088117002156629882020              NaN       NaN        NaN          NaN   \n-16882534066304598262017              NaN      40.0        NaN          NaN   \n-17195592977902414732022              NaN       NaN        NaN          NaN   \n...                                   ...       ...        ...          ...   \n86357167290243989942023               NaN       NaN        NaN          NaN   \n86430107736539595742021              54.0       NaN        NaN          NaN   \n8688146895498790592020                NaN       NaN        NaN          NaN   \n90257034832692016402022               NaN       NaN        NaN          NaN   \ndeleted_data2023                     66.0       NaN        NaN          NaN   \n\nПредмет                   История  Литература  Математика  Обществознание  \\\nid                                                                          \n-11123454891628276492017      NaN         NaN         NaN             NaN   \n-15204242704378521382017      NaN         NaN         NaN             NaN   \n-16088117002156629882020     22.0         NaN         NaN            20.0   \n-16882534066304598262017      NaN         NaN        18.0            45.0   \n-17195592977902414732022     52.0         NaN         NaN            44.0   \n...                           ...         ...         ...             ...   \n86357167290243989942023       NaN         NaN         NaN            16.0   \n86430107736539595742021       NaN         NaN         NaN             NaN   \n8688146895498790592020       37.0         NaN         NaN            42.0   \n90257034832692016402022      84.0         NaN        58.0            69.0   \ndeleted_data2023              NaN         NaN         NaN             NaN   \n\nПредмет                   Русский язык  Физика  Химия  \nid                                                     \n-11123454891628276492017          65.0     NaN    NaN  \n-15204242704378521382017          66.0     NaN    NaN  \n-16088117002156629882020          49.0     NaN    NaN  \n-16882534066304598262017          67.0     NaN    NaN  \n-17195592977902414732022          48.0     NaN    NaN  \n...                                ...     ...    ...  \n86357167290243989942023           37.0     NaN    NaN  \n86430107736539595742021            NaN     NaN    NaN  \n8688146895498790592020            48.0     NaN    NaN  \n90257034832692016402022           70.0     NaN    NaN  \ndeleted_data2023                   NaN     NaN    NaN  \n\n[106 rows x 11 columns]",
      "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>Предмет</th>\n      <th>Английский язык</th>\n      <th>Биология</th>\n      <th>География</th>\n      <th>Информатика</th>\n      <th>История</th>\n      <th>Литература</th>\n      <th>Математика</th>\n      <th>Обществознание</th>\n      <th>Русский язык</th>\n      <th>Физика</th>\n      <th>Химия</th>\n    </tr>\n    <tr>\n      <th>id</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>-11123454891628276492017</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>65.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>-15204242704378521382017</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>66.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>-16088117002156629882020</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>22.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>20.0</td>\n      <td>49.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>-16882534066304598262017</th>\n      <td>NaN</td>\n      <td>40.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>18.0</td>\n      <td>45.0</td>\n      <td>67.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>-17195592977902414732022</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>52.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>44.0</td>\n      <td>48.0</td>\n      <td>NaN</td>\n      <td>NaN</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    </tr>\n    <tr>\n      <th>86357167290243989942023</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>16.0</td>\n      <td>37.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>86430107736539595742021</th>\n      <td>54.0</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>NaN</td>\n    </tr>\n    <tr>\n      <th>8688146895498790592020</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>37.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42.0</td>\n      <td>48.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>90257034832692016402022</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.0</td>\n      <td>NaN</td>\n      <td>58.0</td>\n      <td>69.0</td>\n      <td>70.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>deleted_data2023</th>\n      <td>66.0</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>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>106 rows × 11 columns</p>\n</div>"
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_students['id'] = df_students['Фамилия'] + df_students['Год']\n",
    "df_students_pivot = df_students.pivot(index='id', columns='Предмет', values='Вторичный балл')\n",
    "df_students_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Предмет         Предмет       \nОбществознание  Физика            0.866222\nИнформатика     Математика        0.853571\nИстория         Обществознание    0.824962\nМатематика      Биология          0.771492\nИстория         Математика        0.763533\nОбществознание  Математика        0.726752\nРусский язык    Обществознание    0.700741\nМатематика      Русский язык      0.681804\nРусский язык    Химия             0.679856\n                Информатика       0.674789\nМатематика      Физика            0.656838\nБиология        Химия             0.646437\nИстория         Физика            0.645823\nРусский язык    История           0.610748\nБиология        История           0.600347\nФизика          Русский язык      0.572789\nМатематика      Химия             0.558921\nРусский язык    Биология          0.499372\nИнформатика     Обществознание    0.459955\nФизика          Информатика       0.353172\nОбществознание  Биология          0.340572\n                Химия            -1.000000\ndtype: float64"
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_corr = df_students_pivot.corr().unstack().sort_values(kind=\"quicksort\", ascending=False).dropna()\n",
    "top_corr = top_corr[top_corr != 1.0].drop_duplicates()\n",
    "top_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0, '0.6818')"
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 480x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x='Обществознание'\n",
    "y='Математика'\n",
    "df_students_pivot.plot(\n",
    "    kind='scatter', x=x, y=y, figsize=(6,6),\n",
    "    xlim=(0,100), ylim=(0,100)\n",
    ")\n",
    "plt.title('Связь между баллами предметов')\n",
    "plt.text(x=0, y=0, s=str(round(top_corr[7], 4)), fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(0, len(top_corr)):\n",
    "    x=top_corr.index[i][0]\n",
    "    y=top_corr.index[i][1]\n",
    "    df_students_pivot.plot(\n",
    "        kind='scatter', x=x, y=y, figsize=(6,6),\n",
    "        xlim=(0,100), ylim=(0,100)\n",
    "    )\n",
    "    plt.title('Связь между баллами предметов')\n",
    "    plt.text(x=0, y=0, s=str(round(top_corr[i], 4)), fontsize=12)\n",
    "    plt.savefig('plots/corrs/' + 'scatter_subjects_' + x + '_' + y + '.png', bbox_inches = \"tight\", dpi=600)\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Delete private data of students from xlsx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use these code to remove all private data of students with hash\n",
    "\n",
    "The hash may be used as individual ID for each student"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2017\n",
      "Английский язык, Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2018\n",
      "Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, \n",
      "2019\n",
      "Биология, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2020\n",
      "Биология, Информатика, История, Литература, Математика, Обществознание, Русский язык, Физика, Химия, \n",
      "2021\n",
      "Английский язык, Биология, Информатика, История, Математика, Обществознание, Русский язык, \n",
      "2022\n",
      "Биология, География, Информатика, История, Математика, Обществознание, Русский язык, Химия, \n",
      "2023\n",
      "Английский язык, Информатика, История, Математика, Обществознание, Русский язык, Физика, Химия, "
     ]
    }
   ],
   "source": [
    "df_protocols = pd.DataFrame()\n",
    "for folder_year in list_of_protocols_folders:\n",
    "    folder_now = path_to_protocols + '/' + folder_year\n",
    "    year_now = folder_year.split('_')[1]\n",
    "    print()\n",
    "    print(year_now)\n",
    "    protocols_now = os.listdir(folder_now)\n",
    "    for protocol in protocols_now:\n",
    "        full_path_to_protocol = folder_now + '/' + protocol\n",
    "        df_protocols = df_protocols.append({\n",
    "            'year': year_now,\n",
    "            'subject': protocol.split('.')[0],\n",
    "            'path': full_path_to_protocol\n",
    "        }, ignore_index=True)\n",
    "        print(protocol.split('.')[0], end=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Год              2017  2018  2019  2020  2021  2022  2023\nПредмет                                                  \nРусский язык     19.0   9.0  19.0  18.0   9.0  16.0  13.0\nОбществознание   11.0   7.0  11.0  13.0   6.0   8.0   9.0\nМатематика       16.0   8.0  10.0   9.0   4.0   5.0   6.0\nБиология          5.0   5.0   6.0   4.0   3.0   3.0   0.0\nИнформатика       2.0   3.0   4.0   2.0   3.0   3.0   4.0\nИстория           4.0   1.0   7.0   4.0   2.0   6.0   4.0\nАнглийский язык   1.0   0.0   0.0   0.0   1.0   0.0   1.0\nГеография         0.0   0.0   0.0   0.0   0.0   1.0   0.0\nЛитература        0.0   0.0   0.0   1.0   0.0   0.0   0.0\nФизика            6.0   1.0   5.0   4.0   0.0   0.0   3.0\nХимия             3.0   0.0   4.0   2.0   0.0   2.0   1.0",
      "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>Год</th>\n      <th>2017</th>\n      <th>2018</th>\n      <th>2019</th>\n      <th>2020</th>\n      <th>2021</th>\n      <th>2022</th>\n      <th>2023</th>\n    </tr>\n    <tr>\n      <th>Предмет</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>Русский язык</th>\n      <td>19.0</td>\n      <td>9.0</td>\n      <td>19.0</td>\n      <td>18.0</td>\n      <td>9.0</td>\n      <td>16.0</td>\n      <td>13.0</td>\n    </tr>\n    <tr>\n      <th>Обществознание</th>\n      <td>11.0</td>\n      <td>7.0</td>\n      <td>11.0</td>\n      <td>13.0</td>\n      <td>6.0</td>\n      <td>8.0</td>\n      <td>9.0</td>\n    </tr>\n    <tr>\n      <th>Математика</th>\n      <td>16.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>9.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n    </tr>\n    <tr>\n      <th>Биология</th>\n      <td>5.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Информатика</th>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>История</th>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>7.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>Английский язык</th>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>География</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Литература</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>Физика</th>\n      <td>6.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>4.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>Химия</th>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_students_per_subject = df_subjects.groupby(['Предмет', 'Год'], as_index=False)['Учащихся'].agg('sum').pivot(\n",
    "    index='Предмет', columns='Год', values='Учащихся', \n",
    ").fillna(0).sort_values('2021', ascending=False)\n",
    "n_students_per_subject"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "2017 Английский язык 1, №, eng, 8, \n",
      "2017 Биология 5, №, not_eng, 8, 9, 10, 11, 12, \n",
      "2017 Информатика 2, №, not_eng, 8, 9, \n",
      "2017 История 4, №, not_eng, 8, 9, 10, 11, \n",
      "2017 Математика 16, №, not_eng, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, \n",
      "2017 Обществознание 11, №, not_eng, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, \n",
      "2017 Русский язык 19, №, not_eng, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, \n",
      "2017 Физика 6, №, not_eng, 8, 9, 10, 11, 12, 13, \n",
      "2017 Химия 3, №, not_eng, 8, 9, 10, \n",
      "2018 Биология 5, №, not_eng, 8, 9, 10, 11, 12, \n",
      "2018 Информатика 3, №, not_eng, 8, 9, 10, \n",
      "2018 История 1, №, not_eng, 8, \n",
      "2018 Математика 8, №, not_eng, 8, 9, 10, 11, 12, 13, 14, 15, \n",
      "2018 Обществознание 7, №, not_eng, 8, 9, 10, 11, 12, 13, 14, \n",
      "2018 Русский язык 9, №, not_eng, 8, 9, 10, 11, 12, 13, 14, 15, 16, \n",
      "2018 Физика 1, №, not_eng, 8, \n",
      "2019 Биология 6, №, not_eng, 9, 10, 11, 12, 13, 14, \n",
      "2019 Информатика 4, №, not_eng, 9, 10, 11, 12, \n",
      "2019 История 7, №, not_eng, 9, 10, 11, 12, 13, 14, 15, \n",
      "2019 Математика 10, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, \n",
      "2019 Обществознание 11, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, \n",
      "2019 Русский язык 19, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, \n",
      "2019 Физика 5, №, not_eng, 9, 10, 11, 12, 13, \n",
      "2019 Химия 4, №, not_eng, 9, 10, 11, 12, \n",
      "2020 Биология 4, №, not_eng, 9, 10, 11, 12, \n",
      "2020 Информатика 2, №, not_eng, 9, 10, \n",
      "2020 История 4, №, not_eng, 9, 10, 11, 12, \n",
      "2020 Литература 1, №, not_eng, 9, \n",
      "2020 Математика 9, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, \n",
      "2020 Обществознание 13, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, \n",
      "2020 Русский язык 18, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, \n",
      "2020 Физика 4, №, not_eng, 9, 10, 11, 12, \n",
      "2020 Химия 2, №, not_eng, 9, 10, \n",
      "2021 Английский язык 1, №, eng, 9, \n",
      "2021 Биология 3, №, not_eng, 9, 10, 11, \n",
      "2021 Информатика 3, №, not_eng, 9, 10, 11, \n",
      "2021 История 2, №, not_eng, 9, 10, \n",
      "2021 Математика 4, №, not_eng, 9, 10, 11, 12, \n",
      "2021 Обществознание 6, №, not_eng, 9, 10, 11, 12, 13, 14, \n",
      "2021 Русский язык 9, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, \n",
      "2022 Биология 3, №, not_eng, 9, 10, 11, \n",
      "2022 География 1, №, not_eng, 9, \n",
      "2022 Информатика 3, №, not_eng, 9, 10, 11, \n",
      "2022 История 6, №, not_eng, 9, 10, 11, 12, 13, 14, \n",
      "2022 Математика 5, №, not_eng, 9, 10, 11, 12, 13, \n",
      "2022 Обществознание 8, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, \n",
      "2022 Русский язык 16, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, \n",
      "2022 Химия 2, №, not_eng, 9, 10, \n",
      "2023 Английский язык 1, №, eng, 7, \n",
      "2023 Информатика 4, №, not_eng, 9, 10, 11, 12, \n",
      "2023 История 4, №, not_eng, 9, 10, 11, 12, \n",
      "2023 Математика 6, №, not_eng, 9, 10, 11, 12, 13, 14, \n",
      "2023 Обществознание 9, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, \n",
      "2023 Русский язык 13, №, not_eng, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, \n",
      "2023 Физика 3, №, not_eng, 9, 10, 11, \n",
      "2023 Химия 1, №, not_eng, 9, "
     ]
    }
   ],
   "source": [
    "from openpyxl import load_workbook\n",
    "\n",
    "for i_now in range(len(df_protocols)):\n",
    "    file_path = df_protocols.loc[i_now, 'path']\n",
    "    \n",
    "    year_now = df_protocols.loc[i_now, 'year']\n",
    "    subject_now = df_protocols.loc[i_now, 'subject']\n",
    "    students_num_now = int(n_students_per_subject[str(year_now)][str(subject_now)])\n",
    "    \n",
    "    print()\n",
    "    print(year_now, subject_now, students_num_now, end=', ')\n",
    "\n",
    "    columns_to_hash = ['M', 'N', 'O', 'Q', 'S']\n",
    "    columns_to_delete = ['C', 'E', 'G', 'I', 'K']\n",
    "    columns_to_hash_eng = ['F', 'H', 'I', 'J']\n",
    "    columns_to_delete_eng = ['B', 'C', 'D']\n",
    "\n",
    "    wb = load_workbook(file_path)\n",
    "    ws = wb.active  # or wb.active\n",
    "\n",
    "    ws['A2'].value = 'Регион'\n",
    "    ws['A4'].value = 'Школа'\n",
    "    \n",
    "    current_pos_of_number_symbol = 0\n",
    "    for i in range(5, 15):\n",
    "        if ws['A' + str(i)].value == '№':\n",
    "            current_pos_of_number_symbol = i\n",
    "\n",
    "    print(ws['A' + str(current_pos_of_number_symbol)].value, end=', ')\n",
    "    if ws['A' + str(current_pos_of_number_symbol)].value == '№':\n",
    "\n",
    "        if subject_now != 'Английский язык':\n",
    "            print('not_eng', end=', ')\n",
    "            for student_now in range(1, students_num_now+1):\n",
    "                row_num_now = current_pos_of_number_symbol + student_now\n",
    "                print(row_num_now, end=', ')\n",
    "                # calculate hash of student private data\n",
    "                private_row = '_'\n",
    "                for column_now in columns_to_hash:\n",
    "                    try:\n",
    "                        private_row = private_row + ws[column_now + str(row_num_now)].value\n",
    "                    except:\n",
    "                        print('empty cell:', column_now + str(row_num_now), end=', ')\n",
    "                calculated_hash = str(hash(private_row))\n",
    "                # delete all private values\n",
    "                for column_now in columns_to_delete + columns_to_hash:\n",
    "                    ws[column_now + str(row_num_now)].value = 'deleted_data'\n",
    "                # insert hash as id instead of student private data\n",
    "                for column_now in columns_to_hash:\n",
    "                    ws[column_now + str(row_num_now)].value = calculated_hash\n",
    "\n",
    "        else: # if 'Английский язык':\n",
    "            print('eng', end=', ')\n",
    "            for student_now in range(1, students_num_now+1):\n",
    "                row_num_now = current_pos_of_number_symbol + student_now\n",
    "                print(row_num_now, end=', ')\n",
    "                # calculate hash of student private data\n",
    "                private_row = '_'\n",
    "                for column_now in columns_to_hash_eng:\n",
    "                    try:\n",
    "                        private_row = private_row + ws[column_now + str(row_num_now)].value\n",
    "                    except:\n",
    "                        print('empty cell:', column_now + str(row_num_now), end=', ')\n",
    "                calculated_hash = str(hash(private_row.replace(' ', '')))\n",
    "                # delete all private values\n",
    "                for column_now in columns_to_delete_eng + columns_to_hash_eng:\n",
    "                    ws[column_now + str(row_num_now)].value = 'deleted_data'\n",
    "                # insert hash as id instead of student private data\n",
    "                for column_now in columns_to_hash_eng:\n",
    "                    ws[column_now + str(row_num_now)].value = calculated_hash\n",
    "\n",
    "    else: \n",
    "        print('ERROR - The symbol № has an unappropriated position')\n",
    "\n",
    "    wb.save(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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