all_parkruns_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "collected-details",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator, NullLocator, MaxNLocator\n",
    "from matplotlib.colors import Normalize\n",
    "%matplotlib inline\n",
    "\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "failing-consumption",
   "metadata": {},
   "outputs": [],
   "source": [
    "headers = {'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:86.0) Gecko/20100101 Firefox/86.0'}\n",
    "page_all_results = requests.get('https://www.parkrun.ru/results/courserecords/', headers=headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "norwegian-caution",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_html(page_all_results.text)[0]\n",
    "data.drop(data.columns[[1, 5]], axis=1, inplace=True)\n",
    "data.columns = ['parkrun', 'w_name', 'w_time', 'w_date', 'm_name', 'm_time', 'm_date']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "boxed-combination",
   "metadata": {},
   "source": [
    "# Рекорды трассы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ready-seeker",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>w_name</th>\n",
       "      <th>w_time</th>\n",
       "      <th>w_date</th>\n",
       "      <th>m_name</th>\n",
       "      <th>m_time</th>\n",
       "      <th>m_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angarskie Prudy</td>\n",
       "      <td>Яна ЯМЩИКОВА</td>\n",
       "      <td>19:47</td>\n",
       "      <td>05/06/2021</td>\n",
       "      <td>Фёдор БАКУЛОВ</td>\n",
       "      <td>16:53</td>\n",
       "      <td>28/09/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Babushkinsky na Yauze</td>\n",
       "      <td>Женя Л</td>\n",
       "      <td>19:58</td>\n",
       "      <td>03/04/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:53</td>\n",
       "      <td>09/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Balashikha Zarechnaya</td>\n",
       "      <td>Наталья СТУДЕНИКИНА</td>\n",
       "      <td>17:53</td>\n",
       "      <td>03/04/2021</td>\n",
       "      <td>Роман САЗОНОВ</td>\n",
       "      <td>15:40</td>\n",
       "      <td>08/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Belgorod Park Pobedy</td>\n",
       "      <td>Елена СКОБЛИНА</td>\n",
       "      <td>18:37</td>\n",
       "      <td>05/06/2021</td>\n",
       "      <td>Михаил ЗВЯГИНЦЕВ</td>\n",
       "      <td>16:26</td>\n",
       "      <td>07/03/2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bitsa</td>\n",
       "      <td>Анна БАЛАКШИНА</td>\n",
       "      <td>18:52</td>\n",
       "      <td>12/08/2017</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:04</td>\n",
       "      <td>27/10/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Boeva Dacha</td>\n",
       "      <td>Анастасия ГРИЗДРЕНКО</td>\n",
       "      <td>19:19</td>\n",
       "      <td>24/07/2021</td>\n",
       "      <td>Иван БУБНОВ</td>\n",
       "      <td>15:58</td>\n",
       "      <td>10/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Butovo</td>\n",
       "      <td>Светлана ДУДАРЬ</td>\n",
       "      <td>18:05</td>\n",
       "      <td>28/08/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:57</td>\n",
       "      <td>06/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Buzuluk Park Pushkina</td>\n",
       "      <td>Ирина БИРЮЛИНА</td>\n",
       "      <td>20:15</td>\n",
       "      <td>02/10/2021</td>\n",
       "      <td>Рустам ИХСАНОВ</td>\n",
       "      <td>17:01</td>\n",
       "      <td>19/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Cheboksary naberezhnaya</td>\n",
       "      <td>Зинаида ОБРУЧКОВА</td>\n",
       "      <td>18:05</td>\n",
       "      <td>08/05/2021</td>\n",
       "      <td>Андрей КИРИЛЛОВ</td>\n",
       "      <td>16:17</td>\n",
       "      <td>10/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chelyabinsk</td>\n",
       "      <td>Антонина ОГОРОДНИКОВА</td>\n",
       "      <td>18:18</td>\n",
       "      <td>23/07/2016</td>\n",
       "      <td>Azamat FATTAKHOV</td>\n",
       "      <td>15:58</td>\n",
       "      <td>28/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chelyabinsk Ekopark</td>\n",
       "      <td>Елена САМИГУЛИНА</td>\n",
       "      <td>19:53</td>\n",
       "      <td>06/11/2021</td>\n",
       "      <td>Никита СПИРИДОНОВ</td>\n",
       "      <td>16:42</td>\n",
       "      <td>01/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Chertanovo Pokrovsky Park</td>\n",
       "      <td>Elena SHAMSHINA</td>\n",
       "      <td>20:14</td>\n",
       "      <td>09/11/2019</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:25</td>\n",
       "      <td>13/11/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dolgoprudny</td>\n",
       "      <td>Марина ГЕОРГИЕВА</td>\n",
       "      <td>19:22</td>\n",
       "      <td>01/06/2019</td>\n",
       "      <td>Платон КИСЕЛЕВ</td>\n",
       "      <td>16:24</td>\n",
       "      <td>04/05/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Druzhba</td>\n",
       "      <td>Nina ZARINA</td>\n",
       "      <td>17:45</td>\n",
       "      <td>08/06/2019</td>\n",
       "      <td>Михаил ИВАНОВ</td>\n",
       "      <td>16:42</td>\n",
       "      <td>23/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Elagin Ostrov</td>\n",
       "      <td>Анжелика ШЕВЧЕНКО</td>\n",
       "      <td>17:14</td>\n",
       "      <td>10/08/2019</td>\n",
       "      <td>Валентин СМИРНОВ</td>\n",
       "      <td>14:53</td>\n",
       "      <td>10/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Filatov Lug</td>\n",
       "      <td>Елена СКОБЛИНА</td>\n",
       "      <td>18:10</td>\n",
       "      <td>15/05/2021</td>\n",
       "      <td>Анатолий ГЛАЗКОВ</td>\n",
       "      <td>15:25</td>\n",
       "      <td>09/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Fili</td>\n",
       "      <td>Надежда ШЕМЯКИНА</td>\n",
       "      <td>19:37</td>\n",
       "      <td>16/10/2021</td>\n",
       "      <td>Дмитрий МУЛИН</td>\n",
       "      <td>17:13</td>\n",
       "      <td>25/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Gatchina Prioratsky</td>\n",
       "      <td>Вера ВИНОГРАДОВА</td>\n",
       "      <td>19:42</td>\n",
       "      <td>18/09/2021</td>\n",
       "      <td>Yury VINOGRADOV</td>\n",
       "      <td>16:55</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gorky Park</td>\n",
       "      <td>Мария БЫСТРОВА</td>\n",
       "      <td>17:26</td>\n",
       "      <td>21/05/2016</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>14:50</td>\n",
       "      <td>27/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gorodskoy Park Semya</td>\n",
       "      <td>Оксана ХАФИЗОВА</td>\n",
       "      <td>20:16</td>\n",
       "      <td>10/07/2021</td>\n",
       "      <td>Виктор АРИЩЕНКО</td>\n",
       "      <td>17:26</td>\n",
       "      <td>22/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Gubernsky Park</td>\n",
       "      <td>Валерия ЗУБКОВА</td>\n",
       "      <td>18:44</td>\n",
       "      <td>21/08/2021</td>\n",
       "      <td>Илья ТЮВАЕВ</td>\n",
       "      <td>16:52</td>\n",
       "      <td>17/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Internatsionalistov</td>\n",
       "      <td>Людмила КОЗЛОВА</td>\n",
       "      <td>20:45</td>\n",
       "      <td>01/05/2021</td>\n",
       "      <td>Иван ВОРОБЬЁВ</td>\n",
       "      <td>17:18</td>\n",
       "      <td>19/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Izmailovo</td>\n",
       "      <td>Nina ZARINA</td>\n",
       "      <td>18:27</td>\n",
       "      <td>07/11/2015</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:42</td>\n",
       "      <td>29/02/2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kazan Central</td>\n",
       "      <td>Рамиля ШАГИЕВААлсу ШАГИЕВА</td>\n",
       "      <td>20:29</td>\n",
       "      <td>27/08/201627/08/2016</td>\n",
       "      <td>Кирилл ДЯТЛОВ</td>\n",
       "      <td>16:18</td>\n",
       "      <td>16/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Khimki</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:57</td>\n",
       "      <td>25/11/2017</td>\n",
       "      <td>Артем ЦИБАК</td>\n",
       "      <td>16:25</td>\n",
       "      <td>05/05/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Kimry</td>\n",
       "      <td>Наталья ПОМАЗОВА</td>\n",
       "      <td>19:25</td>\n",
       "      <td>02/10/2021</td>\n",
       "      <td>Алексей АЛАГИЗОВ</td>\n",
       "      <td>16:57</td>\n",
       "      <td>06/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Kolchugino City Park</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:18</td>\n",
       "      <td>04/05/2019</td>\n",
       "      <td>Михаил РОВКОВСКИЙ</td>\n",
       "      <td>17:46</td>\n",
       "      <td>07/09/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Kolomenskoe</td>\n",
       "      <td>Ксения АВДЕЕВА</td>\n",
       "      <td>17:57</td>\n",
       "      <td>17/08/2019</td>\n",
       "      <td>Артем ЦИБАК</td>\n",
       "      <td>15:53</td>\n",
       "      <td>23/06/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Kolpino</td>\n",
       "      <td>Elena SAFONOVA</td>\n",
       "      <td>20:10</td>\n",
       "      <td>08/07/2017</td>\n",
       "      <td>Павел АЛТЫШОВ</td>\n",
       "      <td>15:54</td>\n",
       "      <td>15/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Komsomolsky</td>\n",
       "      <td>Галина ПРОКОПЬЕВА</td>\n",
       "      <td>21:20</td>\n",
       "      <td>24/07/2021</td>\n",
       "      <td>Василий КОРЫТКИН</td>\n",
       "      <td>16:06</td>\n",
       "      <td>24/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Korolev</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:11</td>\n",
       "      <td>21/10/2017</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:59</td>\n",
       "      <td>21/10/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Krasnoyarsk Naberezhnaya</td>\n",
       "      <td>Варвара ШИКАНОВА</td>\n",
       "      <td>18:47</td>\n",
       "      <td>17/08/2019</td>\n",
       "      <td>Тимофей ДАДЫКО</td>\n",
       "      <td>15:19</td>\n",
       "      <td>01/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Krylatskoe</td>\n",
       "      <td>Анна БАТЛ</td>\n",
       "      <td>19:05</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Алексей БЫСТРОВ</td>\n",
       "      <td>16:00</td>\n",
       "      <td>19/09/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Kurgan Central Park</td>\n",
       "      <td>Наталья ТАРАСОВА</td>\n",
       "      <td>18:03</td>\n",
       "      <td>26/06/2021</td>\n",
       "      <td>Юрий ВДОВИН</td>\n",
       "      <td>16:41</td>\n",
       "      <td>28/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Kuzminki</td>\n",
       "      <td>Тома СИЗОВА</td>\n",
       "      <td>18:16</td>\n",
       "      <td>23/09/2017</td>\n",
       "      <td>Иван БУБНОВ</td>\n",
       "      <td>15:43</td>\n",
       "      <td>09/06/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Lebediny Ray</td>\n",
       "      <td>Дарья ЛИЛЛЕСОН</td>\n",
       "      <td>23:56</td>\n",
       "      <td>28/08/2021</td>\n",
       "      <td>Дмитрий КОНДРАШОВ</td>\n",
       "      <td>18:15</td>\n",
       "      <td>23/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Lesopark Severny</td>\n",
       "      <td>Мария ЛИХАЧЕВА</td>\n",
       "      <td>20:27</td>\n",
       "      <td>11/09/2021</td>\n",
       "      <td>Анатолий СМОЛЯК</td>\n",
       "      <td>18:33</td>\n",
       "      <td>23/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Lobnya Gorodskoy Park</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:50</td>\n",
       "      <td>08/05/2021</td>\n",
       "      <td>Александр РЫБАЛКИН</td>\n",
       "      <td>16:16</td>\n",
       "      <td>07/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Magnitogorsk Ecopark</td>\n",
       "      <td>Ксения ВОЛХОНЦЕВА</td>\n",
       "      <td>20:25</td>\n",
       "      <td>23/10/2021</td>\n",
       "      <td>Артём ЗАБАЛУЕВ</td>\n",
       "      <td>17:34</td>\n",
       "      <td>02/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Maykop Gorodskoy Park</td>\n",
       "      <td>Анна КУПИНА</td>\n",
       "      <td>20:51</td>\n",
       "      <td>04/09/2021</td>\n",
       "      <td>Дмитрий ЖЕРЕБЦОВ</td>\n",
       "      <td>16:59</td>\n",
       "      <td>21/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Mega Park Kudrovo</td>\n",
       "      <td>Анастасия ВИННИК</td>\n",
       "      <td>19:07</td>\n",
       "      <td>07/07/2018</td>\n",
       "      <td>Дмитрий ТРИПУТЕНЬ</td>\n",
       "      <td>15:01</td>\n",
       "      <td>21/07/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Memorialny Park</td>\n",
       "      <td>Надежда ОРЛОВА</td>\n",
       "      <td>19:14</td>\n",
       "      <td>15/05/2021</td>\n",
       "      <td>Владимир СЛОБОДЧИКОВ</td>\n",
       "      <td>17:42</td>\n",
       "      <td>16/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Meshchersky</td>\n",
       "      <td>Елена ТОЛСТЫХ</td>\n",
       "      <td>17:41</td>\n",
       "      <td>18/09/2021</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>15:18</td>\n",
       "      <td>08/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Mikhalkovo</td>\n",
       "      <td>Evgeniya RUMYANTSEVA</td>\n",
       "      <td>20:21</td>\n",
       "      <td>15/05/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:15</td>\n",
       "      <td>23/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Mitino</td>\n",
       "      <td>Елена НИКОЛАЕВА</td>\n",
       "      <td>19:14</td>\n",
       "      <td>06/10/2018</td>\n",
       "      <td>Дмитрий КОРОВИН</td>\n",
       "      <td>16:03</td>\n",
       "      <td>17/09/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Moskovsky Park Pobedy</td>\n",
       "      <td>Мария БАБИЧ</td>\n",
       "      <td>18:22</td>\n",
       "      <td>11/01/2020</td>\n",
       "      <td>Николай ЛЯЛИКОВ</td>\n",
       "      <td>15:34</td>\n",
       "      <td>02/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Muromets</td>\n",
       "      <td>Наталья НАУМОВА</td>\n",
       "      <td>26:40</td>\n",
       "      <td>11/12/2021</td>\n",
       "      <td>Дмитрий ШУНИН</td>\n",
       "      <td>17:02</td>\n",
       "      <td>11/12/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Mytishchi Central Park</td>\n",
       "      <td>Анастасия ШАРОНОВА</td>\n",
       "      <td>19:25</td>\n",
       "      <td>19/06/2021</td>\n",
       "      <td>Дмитрий СПИЦЫН</td>\n",
       "      <td>16:40</td>\n",
       "      <td>26/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Naberezhnaya Reki Velikoy</td>\n",
       "      <td>Elena SHAMSHINA</td>\n",
       "      <td>19:39</td>\n",
       "      <td>05/06/2021</td>\n",
       "      <td>Дмитрий ЖЕРЕБЦОВ</td>\n",
       "      <td>16:38</td>\n",
       "      <td>17/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Natashinsky</td>\n",
       "      <td>Gella HUGINN</td>\n",
       "      <td>18:01</td>\n",
       "      <td>26/05/2018</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:43</td>\n",
       "      <td>16/06/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Nizhny Novgorod Meshchersky</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:42</td>\n",
       "      <td>20/07/2019</td>\n",
       "      <td>Александр АБРАМОВ</td>\n",
       "      <td>16:15</td>\n",
       "      <td>09/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Nizhny Prud</td>\n",
       "      <td>Чаткина НАТАЛЬЯ</td>\n",
       "      <td>19:14</td>\n",
       "      <td>23/10/2021</td>\n",
       "      <td>Владимир САФРОНОВ</td>\n",
       "      <td>15:04</td>\n",
       "      <td>10/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Noginsk Gorodskoy Park</td>\n",
       "      <td>Ирина КУЗЬМЕНКО</td>\n",
       "      <td>21:01</td>\n",
       "      <td>19/06/2021</td>\n",
       "      <td>Владислав ЛЕВИН</td>\n",
       "      <td>17:21</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Novosibirsk naberezhnaya</td>\n",
       "      <td>София КОРОТИЧ</td>\n",
       "      <td>19:57</td>\n",
       "      <td>24/08/2019</td>\n",
       "      <td>Николай ШЕВЕЛЬ</td>\n",
       "      <td>16:19</td>\n",
       "      <td>26/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Obninsk</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:06</td>\n",
       "      <td>06/07/2019</td>\n",
       "      <td>Лахсен ИД МУССА</td>\n",
       "      <td>16:08</td>\n",
       "      <td>13/11/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Olimpiyskaya Derevnya</td>\n",
       "      <td>Лидия ПОПОВА</td>\n",
       "      <td>19:59</td>\n",
       "      <td>27/04/2019</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>15:48</td>\n",
       "      <td>11/05/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Orsk Park Stroiteley</td>\n",
       "      <td>Валерия АБРАМОВА</td>\n",
       "      <td>19:12</td>\n",
       "      <td>28/08/2021</td>\n",
       "      <td>Артем ВОРОНЦОВ</td>\n",
       "      <td>16:36</td>\n",
       "      <td>31/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Ostrov Yunost</td>\n",
       "      <td>Анна СПИРИДОНОВА</td>\n",
       "      <td>19:35</td>\n",
       "      <td>04/09/2021</td>\n",
       "      <td>Сергей КАЛАШНИКОВ</td>\n",
       "      <td>16:42</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>park 30-letiya Oktyabrya</td>\n",
       "      <td>Дарья БЕЛОУСОВА</td>\n",
       "      <td>20:41</td>\n",
       "      <td>28/08/2021</td>\n",
       "      <td>Dmitry MARTYNOV</td>\n",
       "      <td>17:36</td>\n",
       "      <td>11/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>park 850-letiya Moskvy</td>\n",
       "      <td>Надия САЛАХОВА</td>\n",
       "      <td>19:09</td>\n",
       "      <td>09/10/2021</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>15:52</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Park Guskova</td>\n",
       "      <td>Анастасия КАБАНОВА</td>\n",
       "      <td>20:56</td>\n",
       "      <td>14/09/2019</td>\n",
       "      <td>Алексей ШИРШОВ</td>\n",
       "      <td>15:33</td>\n",
       "      <td>13/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Park Kirova</td>\n",
       "      <td>Елена КОРЧАГИНА</td>\n",
       "      <td>20:21</td>\n",
       "      <td>07/08/2021</td>\n",
       "      <td>Pavel KASATKIN</td>\n",
       "      <td>16:32</td>\n",
       "      <td>17/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Park Talalikhina</td>\n",
       "      <td>Оксана АКИМЕНКОВА</td>\n",
       "      <td>17:48</td>\n",
       "      <td>12/06/2021</td>\n",
       "      <td>Давид УСПЕНСКИЙ</td>\n",
       "      <td>16:06</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Pavlovsky Posad</td>\n",
       "      <td>Elena SAFONOVA</td>\n",
       "      <td>21:39</td>\n",
       "      <td>22/07/2017</td>\n",
       "      <td>Артем ЦИБАК</td>\n",
       "      <td>16:45</td>\n",
       "      <td>04/05/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Perm Balatovo</td>\n",
       "      <td>Анна ЗОТОВА</td>\n",
       "      <td>18:39</td>\n",
       "      <td>05/10/2019</td>\n",
       "      <td>Сергей ШАДРИН</td>\n",
       "      <td>16:25</td>\n",
       "      <td>12/10/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Petergof Aleksandriysky</td>\n",
       "      <td>Мария БАБИЧ</td>\n",
       "      <td>18:23</td>\n",
       "      <td>15/02/2020</td>\n",
       "      <td>Владимир ПЕТРОВ</td>\n",
       "      <td>16:10</td>\n",
       "      <td>15/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Petrovskaya naberezhnaya</td>\n",
       "      <td>Анна ПРИВАЛОВА</td>\n",
       "      <td>21:38</td>\n",
       "      <td>08/05/2021</td>\n",
       "      <td>Максим КИРИЛЛОВ</td>\n",
       "      <td>16:29</td>\n",
       "      <td>31/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Plotinka</td>\n",
       "      <td>Екатерина НОВИКОВА</td>\n",
       "      <td>19:02</td>\n",
       "      <td>19/06/2021</td>\n",
       "      <td>Евгений СОБОЛЕВ</td>\n",
       "      <td>15:50</td>\n",
       "      <td>31/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Pokrovskoe-Streshnevo</td>\n",
       "      <td>Наталия ГРИГОРЬЕВА</td>\n",
       "      <td>17:42</td>\n",
       "      <td>01/06/2019</td>\n",
       "      <td>Малых РОМАН</td>\n",
       "      <td>16:07</td>\n",
       "      <td>08/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Pur-Navolok</td>\n",
       "      <td>Мария ГЛИНСКАЯ</td>\n",
       "      <td>21:16</td>\n",
       "      <td>14/08/2021</td>\n",
       "      <td>Иван РЕЗНИК</td>\n",
       "      <td>15:25</td>\n",
       "      <td>28/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Pushkin</td>\n",
       "      <td>Надежда МОСЕЕВА</td>\n",
       "      <td>18:32</td>\n",
       "      <td>01/06/2019</td>\n",
       "      <td>Андрей КАРПИН</td>\n",
       "      <td>15:31</td>\n",
       "      <td>03/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Ramenskoe Gorodskoy Park</td>\n",
       "      <td>Ирина ШЕВЧЕНКО</td>\n",
       "      <td>18:21</td>\n",
       "      <td>25/09/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:53</td>\n",
       "      <td>25/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Rasskazovka</td>\n",
       "      <td>Ирина КУЗЬМЕНКО</td>\n",
       "      <td>21:04</td>\n",
       "      <td>18/12/2021</td>\n",
       "      <td>Dmitry MARTYNOV</td>\n",
       "      <td>17:36</td>\n",
       "      <td>18/12/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Readovsky Park</td>\n",
       "      <td>Оксана СТОЛЯРОВА</td>\n",
       "      <td>17:24</td>\n",
       "      <td>22/06/2019</td>\n",
       "      <td>Иван БУБНОВ</td>\n",
       "      <td>15:38</td>\n",
       "      <td>25/05/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Rostov on Don</td>\n",
       "      <td>Александра БОРОДИНОВА</td>\n",
       "      <td>17:32</td>\n",
       "      <td>06/11/2021</td>\n",
       "      <td>Алексей МАМАРИН</td>\n",
       "      <td>15:56</td>\n",
       "      <td>16/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Ryazan Central</td>\n",
       "      <td>Nina ZARINA</td>\n",
       "      <td>18:59</td>\n",
       "      <td>15/08/2015</td>\n",
       "      <td>Александр ИМЕНИН</td>\n",
       "      <td>15:14</td>\n",
       "      <td>27/08/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Ryazan Oreshek</td>\n",
       "      <td>Мария ИМЕНИНА</td>\n",
       "      <td>17:42</td>\n",
       "      <td>08/09/2018</td>\n",
       "      <td>Александр ИМЕНИН</td>\n",
       "      <td>15:18</td>\n",
       "      <td>28/12/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Samara Park Gagarina</td>\n",
       "      <td>Антонина БОНДАРЕВА</td>\n",
       "      <td>19:27</td>\n",
       "      <td>16/06/2018</td>\n",
       "      <td>Евгений СОБОЛЕВ</td>\n",
       "      <td>16:07</td>\n",
       "      <td>19/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Serpukhov Gorodskoy Bor</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>20:54</td>\n",
       "      <td>05/10/2019</td>\n",
       "      <td>Андрей ПОЛУЭКТОВ</td>\n",
       "      <td>17:43</td>\n",
       "      <td>13/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Severnoe Tushino</td>\n",
       "      <td>Александра КАЛИСТРАТОВА</td>\n",
       "      <td>18:42</td>\n",
       "      <td>06/10/2018</td>\n",
       "      <td>Всеволод ХУДЯКОВ</td>\n",
       "      <td>15:19</td>\n",
       "      <td>07/05/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Shuvalovsky Park</td>\n",
       "      <td>Людмила ХОДАКОВА</td>\n",
       "      <td>19:34</td>\n",
       "      <td>27/10/2018</td>\n",
       "      <td>Павел АЛТЫШОВ</td>\n",
       "      <td>16:06</td>\n",
       "      <td>08/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Skver Dzerzhinskogo</td>\n",
       "      <td>Жанна МУХАМЕДЗАРИФОВА</td>\n",
       "      <td>19:46</td>\n",
       "      <td>24/04/2021</td>\n",
       "      <td>Сергей ЗГУРСКИЙ</td>\n",
       "      <td>16:50</td>\n",
       "      <td>08/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Sokolniki</td>\n",
       "      <td>Надежда ШЕМЯКИНА</td>\n",
       "      <td>19:32</td>\n",
       "      <td>23/11/2019</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:00</td>\n",
       "      <td>10/11/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Solnechny ostrov</td>\n",
       "      <td>Анна А. ГАВРЮК</td>\n",
       "      <td>20:17</td>\n",
       "      <td>23/11/2019</td>\n",
       "      <td>Дмитрий КИЯШКО</td>\n",
       "      <td>17:23</td>\n",
       "      <td>16/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Sosnovka</td>\n",
       "      <td>Мария БАБИЧ</td>\n",
       "      <td>18:08</td>\n",
       "      <td>24/09/2016</td>\n",
       "      <td>Станислав АГЕЛЬЯРОВ</td>\n",
       "      <td>15:11</td>\n",
       "      <td>01/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Starye Sady</td>\n",
       "      <td>Elena SHAMSHINA</td>\n",
       "      <td>21:54</td>\n",
       "      <td>08/05/2021</td>\n",
       "      <td>Дмитрий ШУНИН</td>\n",
       "      <td>16:55</td>\n",
       "      <td>27/03/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Stavropol</td>\n",
       "      <td>Ульяна КУЗМИНОВА</td>\n",
       "      <td>18:31</td>\n",
       "      <td>14/03/2020</td>\n",
       "      <td>Максим САЛЬНИКОВ</td>\n",
       "      <td>15:46</td>\n",
       "      <td>07/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Strelka</td>\n",
       "      <td>Людмила ХОДАКОВАКсения ДОНЕЦ</td>\n",
       "      <td>20:29</td>\n",
       "      <td>09/01/202118/09/2021</td>\n",
       "      <td>Leonid EMELYANOV</td>\n",
       "      <td>16:35</td>\n",
       "      <td>28/08/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Strezhevoy Gorodskoy Park</td>\n",
       "      <td>Алена КУЗЬМЕНКО</td>\n",
       "      <td>21:32</td>\n",
       "      <td>12/06/2021</td>\n",
       "      <td>Артём КАЗАКОВ</td>\n",
       "      <td>17:39</td>\n",
       "      <td>26/06/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Tambov</td>\n",
       "      <td>Ольга СИНИЦА</td>\n",
       "      <td>19:04</td>\n",
       "      <td>18/05/2019</td>\n",
       "      <td>Леон АРТЁМОВ</td>\n",
       "      <td>14:28</td>\n",
       "      <td>08/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Timiryazevsky</td>\n",
       "      <td>Александра БОРОДИНОВА</td>\n",
       "      <td>18:17</td>\n",
       "      <td>15/06/2019</td>\n",
       "      <td>Артем ЦИБАК</td>\n",
       "      <td>15:51</td>\n",
       "      <td>14/07/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Tomsk Stadion Polytechnic</td>\n",
       "      <td>Юлия РУМЯНЦЕВА</td>\n",
       "      <td>19:56</td>\n",
       "      <td>23/10/2021</td>\n",
       "      <td>Картавцев КОНСТАНТИН</td>\n",
       "      <td>16:11</td>\n",
       "      <td>04/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Tsaritsyno</td>\n",
       "      <td>Наталия ТОВКАЙЛО</td>\n",
       "      <td>19:59</td>\n",
       "      <td>03/04/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:10</td>\n",
       "      <td>27/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Tula Central</td>\n",
       "      <td>Надежда ОРЛОВА</td>\n",
       "      <td>18:11</td>\n",
       "      <td>13/07/2019</td>\n",
       "      <td>Илья САМОШИН</td>\n",
       "      <td>15:36</td>\n",
       "      <td>10/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Tver Rechnoy Vokzal</td>\n",
       "      <td>Виктория УСОВА</td>\n",
       "      <td>19:42</td>\n",
       "      <td>24/07/2021</td>\n",
       "      <td>Владислав КОЖУХОВ</td>\n",
       "      <td>16:34</td>\n",
       "      <td>10/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Ufa Botanichesky Sad</td>\n",
       "      <td>Юлия АНДРЕЕВА</td>\n",
       "      <td>16:02</td>\n",
       "      <td>17/08/2019</td>\n",
       "      <td>Григорий АНДРЕЕВ</td>\n",
       "      <td>14:57</td>\n",
       "      <td>12/05/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Ulitsa Golubaya</td>\n",
       "      <td>Татьяна ШАРОНОВА</td>\n",
       "      <td>19:39</td>\n",
       "      <td>24/07/2021</td>\n",
       "      <td>Алексей МАМАРИН</td>\n",
       "      <td>16:23</td>\n",
       "      <td>24/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Velikiy Novgorod Kremlevsky</td>\n",
       "      <td>Анна ПАНТЕЛЕЕВА</td>\n",
       "      <td>19:24</td>\n",
       "      <td>27/07/2019</td>\n",
       "      <td>Юрий БЕЛОЗЕРОВ</td>\n",
       "      <td>16:22</td>\n",
       "      <td>04/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Vernadskogo</td>\n",
       "      <td>Александра БОРОДИНОВА</td>\n",
       "      <td>18:39</td>\n",
       "      <td>13/07/2019</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>15:16</td>\n",
       "      <td>13/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Volgograd Panorama</td>\n",
       "      <td>Тамила ЛИТВИНОВА</td>\n",
       "      <td>17:49</td>\n",
       "      <td>18/09/2021</td>\n",
       "      <td>Владимир ШУКЛИН</td>\n",
       "      <td>15:22</td>\n",
       "      <td>12/11/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Vorkuta Gorodskoy Park</td>\n",
       "      <td>Татьяна ЮРИНОВА</td>\n",
       "      <td>26:25</td>\n",
       "      <td>04/12/2021</td>\n",
       "      <td>Фёдор БАКУЛОВ</td>\n",
       "      <td>20:51</td>\n",
       "      <td>04/12/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Voronezh Central Park</td>\n",
       "      <td>Наталья ОСТРИКОВА</td>\n",
       "      <td>19:12</td>\n",
       "      <td>21/12/2019</td>\n",
       "      <td>Александр МАЛЫГИН</td>\n",
       "      <td>15:33</td>\n",
       "      <td>15/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Yakutsk Dokhsun</td>\n",
       "      <td>Полина СЛОБОДЧИКОВА</td>\n",
       "      <td>19:56</td>\n",
       "      <td>17/07/2021</td>\n",
       "      <td>Александр МОЕДО</td>\n",
       "      <td>16:21</td>\n",
       "      <td>17/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Yarmarochnaya Ploshchad</td>\n",
       "      <td>Лилия САЛАХУТДИНОВА</td>\n",
       "      <td>21:33</td>\n",
       "      <td>06/11/2021</td>\n",
       "      <td>Andrey PANKRATOV</td>\n",
       "      <td>16:42</td>\n",
       "      <td>09/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Yoshkar-Ola Alleya Zdorovya</td>\n",
       "      <td>Mariya GELETA</td>\n",
       "      <td>19:37</td>\n",
       "      <td>26/06/2021</td>\n",
       "      <td>Андрей ТАРАБРИН</td>\n",
       "      <td>17:06</td>\n",
       "      <td>08/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Zatyumensky</td>\n",
       "      <td>Нигина ТУХТАЕВА</td>\n",
       "      <td>17:20</td>\n",
       "      <td>17/07/2021</td>\n",
       "      <td>Иван ЛОТОВ</td>\n",
       "      <td>16:16</td>\n",
       "      <td>10/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Zelenograd</td>\n",
       "      <td>Анна ОЗЕРОВА</td>\n",
       "      <td>18:35</td>\n",
       "      <td>15/05/2021</td>\n",
       "      <td>Сергей СОРОКИН</td>\n",
       "      <td>15:34</td>\n",
       "      <td>27/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Zhukovsky</td>\n",
       "      <td>Нина РОМАШОВА</td>\n",
       "      <td>19:55</td>\n",
       "      <td>11/09/2021</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:10</td>\n",
       "      <td>20/04/2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         parkrun                        w_name w_time  \\\n",
       "0                Angarskie Prudy                  Яна ЯМЩИКОВА  19:47   \n",
       "1          Babushkinsky na Yauze                        Женя Л  19:58   \n",
       "2          Balashikha Zarechnaya           Наталья СТУДЕНИКИНА  17:53   \n",
       "3           Belgorod Park Pobedy                Елена СКОБЛИНА  18:37   \n",
       "4                          Bitsa                Анна БАЛАКШИНА  18:52   \n",
       "5                    Boeva Dacha          Анастасия ГРИЗДРЕНКО  19:19   \n",
       "6                         Butovo               Светлана ДУДАРЬ  18:05   \n",
       "7          Buzuluk Park Pushkina                Ирина БИРЮЛИНА  20:15   \n",
       "8        Cheboksary naberezhnaya             Зинаида ОБРУЧКОВА  18:05   \n",
       "9                    Chelyabinsk         Антонина ОГОРОДНИКОВА  18:18   \n",
       "10           Chelyabinsk Ekopark              Елена САМИГУЛИНА  19:53   \n",
       "11     Chertanovo Pokrovsky Park               Elena SHAMSHINA  20:14   \n",
       "12                   Dolgoprudny              Марина ГЕОРГИЕВА  19:22   \n",
       "13                       Druzhba                   Nina ZARINA  17:45   \n",
       "14                 Elagin Ostrov             Анжелика ШЕВЧЕНКО  17:14   \n",
       "15                   Filatov Lug                Елена СКОБЛИНА  18:10   \n",
       "16                          Fili              Надежда ШЕМЯКИНА  19:37   \n",
       "17           Gatchina Prioratsky              Вера ВИНОГРАДОВА  19:42   \n",
       "18                    Gorky Park                Мария БЫСТРОВА  17:26   \n",
       "19          Gorodskoy Park Semya               Оксана ХАФИЗОВА  20:16   \n",
       "20                Gubernsky Park               Валерия ЗУБКОВА  18:44   \n",
       "21           Internatsionalistov               Людмила КОЗЛОВА  20:45   \n",
       "22                     Izmailovo                   Nina ZARINA  18:27   \n",
       "23                 Kazan Central    Рамиля ШАГИЕВААлсу ШАГИЕВА  20:29   \n",
       "24                        Khimki              Людмила ХОДАКОВА  19:57   \n",
       "25                         Kimry              Наталья ПОМАЗОВА  19:25   \n",
       "26          Kolchugino City Park              Людмила ХОДАКОВА  19:18   \n",
       "27                   Kolomenskoe                Ксения АВДЕЕВА  17:57   \n",
       "28                       Kolpino                Elena SAFONOVA  20:10   \n",
       "29                   Komsomolsky             Галина ПРОКОПЬЕВА  21:20   \n",
       "30                       Korolev              Людмила ХОДАКОВА  19:11   \n",
       "31      Krasnoyarsk Naberezhnaya              Варвара ШИКАНОВА  18:47   \n",
       "32                    Krylatskoe                     Анна БАТЛ  19:05   \n",
       "33           Kurgan Central Park              Наталья ТАРАСОВА  18:03   \n",
       "34                      Kuzminki                   Тома СИЗОВА  18:16   \n",
       "35                  Lebediny Ray                Дарья ЛИЛЛЕСОН  23:56   \n",
       "36              Lesopark Severny                Мария ЛИХАЧЕВА  20:27   \n",
       "37         Lobnya Gorodskoy Park              Людмила ХОДАКОВА  19:50   \n",
       "38          Magnitogorsk Ecopark             Ксения ВОЛХОНЦЕВА  20:25   \n",
       "39         Maykop Gorodskoy Park                   Анна КУПИНА  20:51   \n",
       "40             Mega Park Kudrovo              Анастасия ВИННИК  19:07   \n",
       "41               Memorialny Park                Надежда ОРЛОВА  19:14   \n",
       "42                   Meshchersky                 Елена ТОЛСТЫХ  17:41   \n",
       "43                    Mikhalkovo          Evgeniya RUMYANTSEVA  20:21   \n",
       "44                        Mitino               Елена НИКОЛАЕВА  19:14   \n",
       "45         Moskovsky Park Pobedy                   Мария БАБИЧ  18:22   \n",
       "46                      Muromets               Наталья НАУМОВА  26:40   \n",
       "47        Mytishchi Central Park            Анастасия ШАРОНОВА  19:25   \n",
       "48     Naberezhnaya Reki Velikoy               Elena SHAMSHINA  19:39   \n",
       "49                   Natashinsky                  Gella HUGINN  18:01   \n",
       "50   Nizhny Novgorod Meshchersky              Людмила ХОДАКОВА  19:42   \n",
       "51                   Nizhny Prud               Чаткина НАТАЛЬЯ  19:14   \n",
       "52        Noginsk Gorodskoy Park               Ирина КУЗЬМЕНКО  21:01   \n",
       "53      Novosibirsk naberezhnaya                 София КОРОТИЧ  19:57   \n",
       "54                       Obninsk              Людмила ХОДАКОВА  19:06   \n",
       "55         Olimpiyskaya Derevnya                  Лидия ПОПОВА  19:59   \n",
       "56          Orsk Park Stroiteley              Валерия АБРАМОВА  19:12   \n",
       "57                 Ostrov Yunost              Анна СПИРИДОНОВА  19:35   \n",
       "58      park 30-letiya Oktyabrya               Дарья БЕЛОУСОВА  20:41   \n",
       "59        park 850-letiya Moskvy                Надия САЛАХОВА  19:09   \n",
       "60                  Park Guskova            Анастасия КАБАНОВА  20:56   \n",
       "61                   Park Kirova               Елена КОРЧАГИНА  20:21   \n",
       "62              Park Talalikhina             Оксана АКИМЕНКОВА  17:48   \n",
       "63               Pavlovsky Posad                Elena SAFONOVA  21:39   \n",
       "64                 Perm Balatovo                   Анна ЗОТОВА  18:39   \n",
       "65       Petergof Aleksandriysky                   Мария БАБИЧ  18:23   \n",
       "66      Petrovskaya naberezhnaya                Анна ПРИВАЛОВА  21:38   \n",
       "67                      Plotinka            Екатерина НОВИКОВА  19:02   \n",
       "68         Pokrovskoe-Streshnevo            Наталия ГРИГОРЬЕВА  17:42   \n",
       "69                   Pur-Navolok                Мария ГЛИНСКАЯ  21:16   \n",
       "70                       Pushkin               Надежда МОСЕЕВА  18:32   \n",
       "71      Ramenskoe Gorodskoy Park                Ирина ШЕВЧЕНКО  18:21   \n",
       "72                   Rasskazovka               Ирина КУЗЬМЕНКО  21:04   \n",
       "73                Readovsky Park              Оксана СТОЛЯРОВА  17:24   \n",
       "74                 Rostov on Don         Александра БОРОДИНОВА  17:32   \n",
       "75                Ryazan Central                   Nina ZARINA  18:59   \n",
       "76                Ryazan Oreshek                 Мария ИМЕНИНА  17:42   \n",
       "77          Samara Park Gagarina            Антонина БОНДАРЕВА  19:27   \n",
       "78       Serpukhov Gorodskoy Bor              Людмила ХОДАКОВА  20:54   \n",
       "79              Severnoe Tushino       Александра КАЛИСТРАТОВА  18:42   \n",
       "80              Shuvalovsky Park              Людмила ХОДАКОВА  19:34   \n",
       "81           Skver Dzerzhinskogo         Жанна МУХАМЕДЗАРИФОВА  19:46   \n",
       "82                     Sokolniki              Надежда ШЕМЯКИНА  19:32   \n",
       "83              Solnechny ostrov                Анна А. ГАВРЮК  20:17   \n",
       "84                      Sosnovka                   Мария БАБИЧ  18:08   \n",
       "85                   Starye Sady               Elena SHAMSHINA  21:54   \n",
       "86                     Stavropol              Ульяна КУЗМИНОВА  18:31   \n",
       "87                       Strelka  Людмила ХОДАКОВАКсения ДОНЕЦ  20:29   \n",
       "88     Strezhevoy Gorodskoy Park               Алена КУЗЬМЕНКО  21:32   \n",
       "89                        Tambov                  Ольга СИНИЦА  19:04   \n",
       "90                 Timiryazevsky         Александра БОРОДИНОВА  18:17   \n",
       "91     Tomsk Stadion Polytechnic                Юлия РУМЯНЦЕВА  19:56   \n",
       "92                    Tsaritsyno              Наталия ТОВКАЙЛО  19:59   \n",
       "93                  Tula Central                Надежда ОРЛОВА  18:11   \n",
       "94           Tver Rechnoy Vokzal                Виктория УСОВА  19:42   \n",
       "95          Ufa Botanichesky Sad                 Юлия АНДРЕЕВА  16:02   \n",
       "96               Ulitsa Golubaya              Татьяна ШАРОНОВА  19:39   \n",
       "97   Velikiy Novgorod Kremlevsky               Анна ПАНТЕЛЕЕВА  19:24   \n",
       "98                   Vernadskogo         Александра БОРОДИНОВА  18:39   \n",
       "99            Volgograd Panorama              Тамила ЛИТВИНОВА  17:49   \n",
       "100       Vorkuta Gorodskoy Park               Татьяна ЮРИНОВА  26:25   \n",
       "101        Voronezh Central Park             Наталья ОСТРИКОВА  19:12   \n",
       "102              Yakutsk Dokhsun           Полина СЛОБОДЧИКОВА  19:56   \n",
       "103      Yarmarochnaya Ploshchad           Лилия САЛАХУТДИНОВА  21:33   \n",
       "104  Yoshkar-Ola Alleya Zdorovya                 Mariya GELETA  19:37   \n",
       "105                  Zatyumensky               Нигина ТУХТАЕВА  17:20   \n",
       "106                   Zelenograd                  Анна ОЗЕРОВА  18:35   \n",
       "107                    Zhukovsky                 Нина РОМАШОВА  19:55   \n",
       "\n",
       "                   w_date                m_name m_time      m_date  \n",
       "0              05/06/2021         Фёдор БАКУЛОВ  16:53  28/09/2019  \n",
       "1              03/04/2021       Виктор НИКОЛАЕВ  15:53  09/10/2021  \n",
       "2              03/04/2021         Роман САЗОНОВ  15:40  08/09/2018  \n",
       "3              05/06/2021      Михаил ЗВЯГИНЦЕВ  16:26  07/03/2020  \n",
       "4              12/08/2017       Виктор НИКОЛАЕВ  16:04  27/10/2018  \n",
       "5              24/07/2021           Иван БУБНОВ  15:58  10/04/2021  \n",
       "6              28/08/2021       Виктор НИКОЛАЕВ  15:57  06/07/2019  \n",
       "7              02/10/2021        Рустам ИХСАНОВ  17:01  19/06/2021  \n",
       "8              08/05/2021       Андрей КИРИЛЛОВ  16:17  10/07/2021  \n",
       "9              23/07/2016      Azamat FATTAKHOV  15:58  28/08/2021  \n",
       "10             06/11/2021     Никита СПИРИДОНОВ  16:42  01/05/2021  \n",
       "11             09/11/2019       Виктор НИКОЛАЕВ  16:25  13/11/2021  \n",
       "12             01/06/2019        Платон КИСЕЛЕВ  16:24  04/05/2019  \n",
       "13             08/06/2019         Михаил ИВАНОВ  16:42  23/10/2021  \n",
       "14             10/08/2019      Валентин СМИРНОВ  14:53  10/08/2019  \n",
       "15             15/05/2021      Анатолий ГЛАЗКОВ  15:25  09/10/2021  \n",
       "16             16/10/2021         Дмитрий МУЛИН  17:13  25/09/2021  \n",
       "17             18/09/2021       Yury VINOGRADOV  16:55  18/09/2021  \n",
       "18             21/05/2016      Вячеслав СОКОЛОВ  14:50  27/04/2019  \n",
       "19             10/07/2021       Виктор АРИЩЕНКО  17:26  22/05/2021  \n",
       "20             21/08/2021           Илья ТЮВАЕВ  16:52  17/07/2021  \n",
       "21             01/05/2021         Иван ВОРОБЬЁВ  17:18  19/06/2021  \n",
       "22             07/11/2015       Виктор НИКОЛАЕВ  15:42  29/02/2020  \n",
       "23   27/08/201627/08/2016         Кирилл ДЯТЛОВ  16:18  16/10/2021  \n",
       "24             25/11/2017           Артем ЦИБАК  16:25  05/05/2018  \n",
       "25             02/10/2021      Алексей АЛАГИЗОВ  16:57  06/04/2019  \n",
       "26             04/05/2019     Михаил РОВКОВСКИЙ  17:46  07/09/2019  \n",
       "27             17/08/2019           Артем ЦИБАК  15:53  23/06/2018  \n",
       "28             08/07/2017         Павел АЛТЫШОВ  15:54  15/06/2019  \n",
       "29             24/07/2021      Василий КОРЫТКИН  16:06  24/04/2021  \n",
       "30             21/10/2017       Виктор НИКОЛАЕВ  15:59  21/10/2017  \n",
       "31             17/08/2019        Тимофей ДАДЫКО  15:19  01/09/2018  \n",
       "32             27/04/2019       Алексей БЫСТРОВ  16:00  19/09/2015  \n",
       "33             26/06/2021           Юрий ВДОВИН  16:41  28/08/2021  \n",
       "34             23/09/2017           Иван БУБНОВ  15:43  09/06/2018  \n",
       "35             28/08/2021     Дмитрий КОНДРАШОВ  18:15  23/10/2021  \n",
       "36             11/09/2021       Анатолий СМОЛЯК  18:33  23/11/2019  \n",
       "37             08/05/2021    Александр РЫБАЛКИН  16:16  07/08/2021  \n",
       "38             23/10/2021        Артём ЗАБАЛУЕВ  17:34  02/10/2021  \n",
       "39             04/09/2021      Дмитрий ЖЕРЕБЦОВ  16:59  21/08/2021  \n",
       "40             07/07/2018     Дмитрий ТРИПУТЕНЬ  15:01  21/07/2018  \n",
       "41             15/05/2021  Владимир СЛОБОДЧИКОВ  17:42  16/10/2021  \n",
       "42             18/09/2021      Вячеслав СОКОЛОВ  15:18  08/06/2019  \n",
       "43             15/05/2021       Виктор НИКОЛАЕВ  16:15  23/10/2021  \n",
       "44             06/10/2018       Дмитрий КОРОВИН  16:03  17/09/2016  \n",
       "45             11/01/2020       Николай ЛЯЛИКОВ  15:34  02/11/2019  \n",
       "46             11/12/2021         Дмитрий ШУНИН  17:02  11/12/2021  \n",
       "47             19/06/2021        Дмитрий СПИЦЫН  16:40  26/06/2021  \n",
       "48             05/06/2021      Дмитрий ЖЕРЕБЦОВ  16:38  17/07/2021  \n",
       "49             26/05/2018       Виктор НИКОЛАЕВ  15:43  16/06/2018  \n",
       "50             20/07/2019     Александр АБРАМОВ  16:15  09/11/2019  \n",
       "51             23/10/2021     Владимир САФРОНОВ  15:04  10/07/2021  \n",
       "52             19/06/2021       Владислав ЛЕВИН  17:21  18/09/2021  \n",
       "53             24/08/2019        Николай ШЕВЕЛЬ  16:19  26/06/2021  \n",
       "54             06/07/2019       Лахсен ИД МУССА  16:08  13/11/2021  \n",
       "55             27/04/2019      Вячеслав СОКОЛОВ  15:48  11/05/2019  \n",
       "56             28/08/2021        Артем ВОРОНЦОВ  16:36  31/08/2019  \n",
       "57             04/09/2021     Сергей КАЛАШНИКОВ  16:42  18/09/2021  \n",
       "58             28/08/2021       Dmitry MARTYNOV  17:36  11/09/2021  \n",
       "59             09/10/2021      Вячеслав СОКОЛОВ  15:52  18/09/2021  \n",
       "60             14/09/2019        Алексей ШИРШОВ  15:33  13/07/2019  \n",
       "61             07/08/2021        Pavel KASATKIN  16:32  17/04/2021  \n",
       "62             12/06/2021       Давид УСПЕНСКИЙ  16:06  18/09/2021  \n",
       "63             22/07/2017           Артем ЦИБАК  16:45  04/05/2019  \n",
       "64             05/10/2019         Сергей ШАДРИН  16:25  12/10/2019  \n",
       "65             15/02/2020       Владимир ПЕТРОВ  16:10  15/05/2021  \n",
       "66             08/05/2021       Максим КИРИЛЛОВ  16:29  31/07/2021  \n",
       "67             19/06/2021       Евгений СОБОЛЕВ  15:50  31/07/2021  \n",
       "68             01/06/2019           Малых РОМАН  16:07  08/06/2019  \n",
       "69             14/08/2021           Иван РЕЗНИК  15:25  28/08/2021  \n",
       "70             01/06/2019         Андрей КАРПИН  15:31  03/08/2019  \n",
       "71             25/09/2021       Виктор НИКОЛАЕВ  15:53  25/09/2021  \n",
       "72             18/12/2021       Dmitry MARTYNOV  17:36  18/12/2021  \n",
       "73             22/06/2019           Иван БУБНОВ  15:38  25/05/2019  \n",
       "74             06/11/2021       Алексей МАМАРИН  15:56  16/11/2019  \n",
       "75             15/08/2015      Александр ИМЕНИН  15:14  27/08/2016  \n",
       "76             08/09/2018      Александр ИМЕНИН  15:18  28/12/2019  \n",
       "77             16/06/2018       Евгений СОБОЛЕВ  16:07  19/06/2021  \n",
       "78             05/10/2019      Андрей ПОЛУЭКТОВ  17:43  13/07/2019  \n",
       "79             06/10/2018      Всеволод ХУДЯКОВ  15:19  07/05/2016  \n",
       "80             27/10/2018         Павел АЛТЫШОВ  16:06  08/09/2018  \n",
       "81             24/04/2021       Сергей ЗГУРСКИЙ  16:50  08/05/2021  \n",
       "82             23/11/2019       Виктор НИКОЛАЕВ  16:00  10/11/2018  \n",
       "83             23/11/2019        Дмитрий КИЯШКО  17:23  16/11/2019  \n",
       "84             24/09/2016   Станислав АГЕЛЬЯРОВ  15:11  01/06/2019  \n",
       "85             08/05/2021         Дмитрий ШУНИН  16:55  27/03/2021  \n",
       "86             14/03/2020      Максим САЛЬНИКОВ  15:46  07/08/2021  \n",
       "87   09/01/202118/09/2021      Leonid EMELYANOV  16:35  28/08/2021  \n",
       "88             12/06/2021         Артём КАЗАКОВ  17:39  26/06/2021  \n",
       "89             18/05/2019          Леон АРТЁМОВ  14:28  08/06/2019  \n",
       "90             15/06/2019           Артем ЦИБАК  15:51  14/07/2018  \n",
       "91             23/10/2021  Картавцев КОНСТАНТИН  16:11  04/09/2021  \n",
       "92             03/04/2021       Виктор НИКОЛАЕВ  16:10  27/04/2019  \n",
       "93             13/07/2019          Илья САМОШИН  15:36  10/07/2021  \n",
       "94             24/07/2021     Владислав КОЖУХОВ  16:34  10/04/2021  \n",
       "95             17/08/2019      Григорий АНДРЕЕВ  14:57  12/05/2018  \n",
       "96             24/07/2021       Алексей МАМАРИН  16:23  24/07/2021  \n",
       "97             27/07/2019        Юрий БЕЛОЗЕРОВ  16:22  04/09/2021  \n",
       "98             13/07/2019      Вячеслав СОКОЛОВ  15:16  13/04/2019  \n",
       "99             18/09/2021       Владимир ШУКЛИН  15:22  12/11/2016  \n",
       "100            04/12/2021         Фёдор БАКУЛОВ  20:51  04/12/2021  \n",
       "101            21/12/2019     Александр МАЛЫГИН  15:33  15/09/2018  \n",
       "102            17/07/2021       Александр МОЕДО  16:21  17/07/2021  \n",
       "103            06/11/2021      Andrey PANKRATOV  16:42  09/10/2021  \n",
       "104            26/06/2021       Андрей ТАРАБРИН  17:06  08/05/2021  \n",
       "105            17/07/2021            Иван ЛОТОВ  16:16  10/07/2021  \n",
       "106            15/05/2021        Сергей СОРОКИН  15:34  27/07/2019  \n",
       "107            11/09/2021       Виктор НИКОЛАЕВ  16:10  20/04/2019  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "instructional-peripheral",
   "metadata": {},
   "source": [
    "Записи с \"нетипичными\" данными"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "phantom-laugh",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>w_name</th>\n",
       "      <th>w_time</th>\n",
       "      <th>w_date</th>\n",
       "      <th>m_name</th>\n",
       "      <th>m_time</th>\n",
       "      <th>m_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kazan Central</td>\n",
       "      <td>Рамиля ШАГИЕВААлсу ШАГИЕВА</td>\n",
       "      <td>20:29</td>\n",
       "      <td>27/08/201627/08/2016</td>\n",
       "      <td>Кирилл ДЯТЛОВ</td>\n",
       "      <td>16:18</td>\n",
       "      <td>16/10/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Strelka</td>\n",
       "      <td>Людмила ХОДАКОВАКсения ДОНЕЦ</td>\n",
       "      <td>20:29</td>\n",
       "      <td>09/01/202118/09/2021</td>\n",
       "      <td>Leonid EMELYANOV</td>\n",
       "      <td>16:35</td>\n",
       "      <td>28/08/2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          parkrun                        w_name w_time                w_date  \\\n",
       "23  Kazan Central    Рамиля ШАГИЕВААлсу ШАГИЕВА  20:29  27/08/201627/08/2016   \n",
       "87        Strelka  Людмила ХОДАКОВАКсения ДОНЕЦ  20:29  09/01/202118/09/2021   \n",
       "\n",
       "              m_name m_time      m_date  \n",
       "23     Кирилл ДЯТЛОВ  16:18  16/10/2021  \n",
       "87  Leonid EMELYANOV  16:35  28/08/2021  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask = (data['w_date'].str.len() > 10) | (data['m_date'].str.len() > 10)\n",
    "data.loc[mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "negative-story",
   "metadata": {},
   "source": [
    "## Список всех российских паркранов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "instructional-neutral",
   "metadata": {},
   "outputs": [],
   "source": [
    "russian_parkruns = data['parkrun']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "respective-pledge",
   "metadata": {},
   "source": [
    "Всего активных паркранов в России:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "adult-mobility",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "108"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(russian_parkruns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bored-utility",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                  Angarskie Prudy\n",
       "1            Babushkinsky na Yauze\n",
       "2            Balashikha Zarechnaya\n",
       "3             Belgorod Park Pobedy\n",
       "4                            Bitsa\n",
       "5                      Boeva Dacha\n",
       "6                           Butovo\n",
       "7            Buzuluk Park Pushkina\n",
       "8          Cheboksary naberezhnaya\n",
       "9                      Chelyabinsk\n",
       "10             Chelyabinsk Ekopark\n",
       "11       Chertanovo Pokrovsky Park\n",
       "12                     Dolgoprudny\n",
       "13                         Druzhba\n",
       "14                   Elagin Ostrov\n",
       "15                     Filatov Lug\n",
       "16                            Fili\n",
       "17             Gatchina Prioratsky\n",
       "18                      Gorky Park\n",
       "19            Gorodskoy Park Semya\n",
       "20                  Gubernsky Park\n",
       "21             Internatsionalistov\n",
       "22                       Izmailovo\n",
       "23                   Kazan Central\n",
       "24                          Khimki\n",
       "25                           Kimry\n",
       "26            Kolchugino City Park\n",
       "27                     Kolomenskoe\n",
       "28                         Kolpino\n",
       "29                     Komsomolsky\n",
       "30                         Korolev\n",
       "31        Krasnoyarsk Naberezhnaya\n",
       "32                      Krylatskoe\n",
       "33             Kurgan Central Park\n",
       "34                        Kuzminki\n",
       "35                    Lebediny Ray\n",
       "36                Lesopark Severny\n",
       "37           Lobnya Gorodskoy Park\n",
       "38            Magnitogorsk Ecopark\n",
       "39           Maykop Gorodskoy Park\n",
       "40               Mega Park Kudrovo\n",
       "41                 Memorialny Park\n",
       "42                     Meshchersky\n",
       "43                      Mikhalkovo\n",
       "44                          Mitino\n",
       "45           Moskovsky Park Pobedy\n",
       "46                        Muromets\n",
       "47          Mytishchi Central Park\n",
       "48       Naberezhnaya Reki Velikoy\n",
       "49                     Natashinsky\n",
       "50     Nizhny Novgorod Meshchersky\n",
       "51                     Nizhny Prud\n",
       "52          Noginsk Gorodskoy Park\n",
       "53        Novosibirsk naberezhnaya\n",
       "54                         Obninsk\n",
       "55           Olimpiyskaya Derevnya\n",
       "56            Orsk Park Stroiteley\n",
       "57                   Ostrov Yunost\n",
       "58        park 30-letiya Oktyabrya\n",
       "59          park 850-letiya Moskvy\n",
       "60                    Park Guskova\n",
       "61                     Park Kirova\n",
       "62                Park Talalikhina\n",
       "63                 Pavlovsky Posad\n",
       "64                   Perm Balatovo\n",
       "65         Petergof Aleksandriysky\n",
       "66        Petrovskaya naberezhnaya\n",
       "67                        Plotinka\n",
       "68           Pokrovskoe-Streshnevo\n",
       "69                     Pur-Navolok\n",
       "70                         Pushkin\n",
       "71        Ramenskoe Gorodskoy Park\n",
       "72                     Rasskazovka\n",
       "73                  Readovsky Park\n",
       "74                   Rostov on Don\n",
       "75                  Ryazan Central\n",
       "76                  Ryazan Oreshek\n",
       "77            Samara Park Gagarina\n",
       "78         Serpukhov Gorodskoy Bor\n",
       "79                Severnoe Tushino\n",
       "80                Shuvalovsky Park\n",
       "81             Skver Dzerzhinskogo\n",
       "82                       Sokolniki\n",
       "83                Solnechny ostrov\n",
       "84                        Sosnovka\n",
       "85                     Starye Sady\n",
       "86                       Stavropol\n",
       "87                         Strelka\n",
       "88       Strezhevoy Gorodskoy Park\n",
       "89                          Tambov\n",
       "90                   Timiryazevsky\n",
       "91       Tomsk Stadion Polytechnic\n",
       "92                      Tsaritsyno\n",
       "93                    Tula Central\n",
       "94             Tver Rechnoy Vokzal\n",
       "95            Ufa Botanichesky Sad\n",
       "96                 Ulitsa Golubaya\n",
       "97     Velikiy Novgorod Kremlevsky\n",
       "98                     Vernadskogo\n",
       "99              Volgograd Panorama\n",
       "100         Vorkuta Gorodskoy Park\n",
       "101          Voronezh Central Park\n",
       "102                Yakutsk Dokhsun\n",
       "103        Yarmarochnaya Ploshchad\n",
       "104    Yoshkar-Ola Alleya Zdorovya\n",
       "105                    Zatyumensky\n",
       "106                     Zelenograd\n",
       "107                      Zhukovsky\n",
       "Name: parkrun, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "russian_parkruns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "patient-translator",
   "metadata": {},
   "outputs": [],
   "source": [
    "russian_parkruns.to_csv('russian_parkruns.csv', index=False, header=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "pleasant-treat",
   "metadata": {},
   "source": [
    "## Анализ мужских результатов"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daily-senator",
   "metadata": {},
   "source": [
    "### Топ10 рекордов мужчин и самых быстрых российских паркранов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "interracial-capture",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>m_name</th>\n",
       "      <th>m_time</th>\n",
       "      <th>m_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tambov</td>\n",
       "      <td>Леон АРТЁМОВ</td>\n",
       "      <td>14:28</td>\n",
       "      <td>08/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gorky Park</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>14:50</td>\n",
       "      <td>27/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Elagin Ostrov</td>\n",
       "      <td>Валентин СМИРНОВ</td>\n",
       "      <td>14:53</td>\n",
       "      <td>10/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ufa Botanichesky Sad</td>\n",
       "      <td>Григорий АНДРЕЕВ</td>\n",
       "      <td>14:57</td>\n",
       "      <td>12/05/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mega Park Kudrovo</td>\n",
       "      <td>Дмитрий ТРИПУТЕНЬ</td>\n",
       "      <td>15:01</td>\n",
       "      <td>21/07/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Nizhny Prud</td>\n",
       "      <td>Владимир САФРОНОВ</td>\n",
       "      <td>15:04</td>\n",
       "      <td>10/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sosnovka</td>\n",
       "      <td>Станислав АГЕЛЬЯРОВ</td>\n",
       "      <td>15:11</td>\n",
       "      <td>01/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ryazan Central</td>\n",
       "      <td>Александр ИМЕНИН</td>\n",
       "      <td>15:14</td>\n",
       "      <td>27/08/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Vernadskogo</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>15:16</td>\n",
       "      <td>13/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ryazan Oreshek</td>\n",
       "      <td>Александр ИМЕНИН</td>\n",
       "      <td>15:18</td>\n",
       "      <td>28/12/2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                parkrun               m_name m_time      m_date\n",
       "0                Tambov         Леон АРТЁМОВ  14:28  08/06/2019\n",
       "1            Gorky Park     Вячеслав СОКОЛОВ  14:50  27/04/2019\n",
       "2         Elagin Ostrov     Валентин СМИРНОВ  14:53  10/08/2019\n",
       "3  Ufa Botanichesky Sad     Григорий АНДРЕЕВ  14:57  12/05/2018\n",
       "4     Mega Park Kudrovo    Дмитрий ТРИПУТЕНЬ  15:01  21/07/2018\n",
       "5           Nizhny Prud    Владимир САФРОНОВ  15:04  10/07/2021\n",
       "6              Sosnovka  Станислав АГЕЛЬЯРОВ  15:11  01/06/2019\n",
       "7        Ryazan Central     Александр ИМЕНИН  15:14  27/08/2016\n",
       "8           Vernadskogo     Вячеслав СОКОЛОВ  15:16  13/04/2019\n",
       "9        Ryazan Oreshek     Александр ИМЕНИН  15:18  28/12/2019"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(data.iloc[:,1:4], axis=1).sort_values(by=['m_time']).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "supposed-nicholas",
   "metadata": {},
   "source": [
    "### Топ5 мужчин с наибольшим количеством рекордов на разных паркранах"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "tribal-drawing",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rec_men = data['m_name'].value_counts()\n",
    "rec_women = data['w_name'].value_counts()\n",
    "most_rec_men = rec_men[rec_men > 1]\n",
    "most_rec_women = rec_women[rec_women > 1]\n",
    "df = pd.concat([most_rec_men, most_rec_women], axis = 0).sort_values(ascending=True)\n",
    "plt.figure(figsize=(7,7))\n",
    "ax = df.plot(kind = 'barh', grid=True)\n",
    "for ptch, tick in zip(ax.patches, ax.yaxis.get_major_ticks()):\n",
    "    c = '#2ca02c' if tick.label.get_text() in most_rec_men.index else '#9467bd'\n",
    "    ptch.set_facecolor(c)\n",
    "\n",
    "ax.grid(b=False, which='major', axis='y')\n",
    "\n",
    "ax.xaxis.set_major_locator(MaxNLocator(steps=[1, 2], integer=True))\n",
    "ax.xaxis.tick_top()\n",
    "plt.title('Учасники с наибольшим количеством рекордов\\nна различных паркранах', size=16, fontweight='bold')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "constitutional-wisconsin",
   "metadata": {},
   "source": [
    "### 10 самых медленных паркранов (где мужские рекорды пока не высокие)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "weekly-brunei",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>m_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Vorkuta Gorodskoy Park</td>\n",
       "      <td>20:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lesopark Severny</td>\n",
       "      <td>18:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lebediny Ray</td>\n",
       "      <td>18:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kolchugino City Park</td>\n",
       "      <td>17:46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Serpukhov Gorodskoy Bor</td>\n",
       "      <td>17:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Memorialny Park</td>\n",
       "      <td>17:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Strezhevoy Gorodskoy Park</td>\n",
       "      <td>17:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>park 30-letiya Oktyabrya</td>\n",
       "      <td>17:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Rasskazovka</td>\n",
       "      <td>17:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Magnitogorsk Ecopark</td>\n",
       "      <td>17:34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     parkrun m_time\n",
       "0     Vorkuta Gorodskoy Park  20:51\n",
       "1           Lesopark Severny  18:33\n",
       "2               Lebediny Ray  18:15\n",
       "3       Kolchugino City Park  17:46\n",
       "4    Serpukhov Gorodskoy Bor  17:43\n",
       "5            Memorialny Park  17:42\n",
       "6  Strezhevoy Gorodskoy Park  17:39\n",
       "7   park 30-letiya Oktyabrya  17:36\n",
       "8                Rasskazovka  17:36\n",
       "9       Magnitogorsk Ecopark  17:34"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(data.iloc[:,[1,2,3,4,6]], axis=1)\\\n",
    ".sort_values(by=['m_time'], ascending=False).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "concrete-purple",
   "metadata": {},
   "source": [
    "## Анализ женских результатов"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "creative-newfoundland",
   "metadata": {},
   "source": [
    "### Топ10 рекордов женщин и самых быстрых российских паркранов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "revolutionary-treasury",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>w_name</th>\n",
       "      <th>w_time</th>\n",
       "      <th>w_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ufa Botanichesky Sad</td>\n",
       "      <td>Юлия АНДРЕЕВА</td>\n",
       "      <td>16:02</td>\n",
       "      <td>17/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Elagin Ostrov</td>\n",
       "      <td>Анжелика ШЕВЧЕНКО</td>\n",
       "      <td>17:14</td>\n",
       "      <td>10/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Zatyumensky</td>\n",
       "      <td>Нигина ТУХТАЕВА</td>\n",
       "      <td>17:20</td>\n",
       "      <td>17/07/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Readovsky Park</td>\n",
       "      <td>Оксана СТОЛЯРОВА</td>\n",
       "      <td>17:24</td>\n",
       "      <td>22/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gorky Park</td>\n",
       "      <td>Мария БЫСТРОВА</td>\n",
       "      <td>17:26</td>\n",
       "      <td>21/05/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rostov on Don</td>\n",
       "      <td>Александра БОРОДИНОВА</td>\n",
       "      <td>17:32</td>\n",
       "      <td>06/11/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Meshchersky</td>\n",
       "      <td>Елена ТОЛСТЫХ</td>\n",
       "      <td>17:41</td>\n",
       "      <td>18/09/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pokrovskoe-Streshnevo</td>\n",
       "      <td>Наталия ГРИГОРЬЕВА</td>\n",
       "      <td>17:42</td>\n",
       "      <td>01/06/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ryazan Oreshek</td>\n",
       "      <td>Мария ИМЕНИНА</td>\n",
       "      <td>17:42</td>\n",
       "      <td>08/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Druzhba</td>\n",
       "      <td>Nina ZARINA</td>\n",
       "      <td>17:45</td>\n",
       "      <td>08/06/2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 parkrun                 w_name w_time      w_date\n",
       "0   Ufa Botanichesky Sad          Юлия АНДРЕЕВА  16:02  17/08/2019\n",
       "1          Elagin Ostrov      Анжелика ШЕВЧЕНКО  17:14  10/08/2019\n",
       "2            Zatyumensky        Нигина ТУХТАЕВА  17:20  17/07/2021\n",
       "3         Readovsky Park       Оксана СТОЛЯРОВА  17:24  22/06/2019\n",
       "4             Gorky Park         Мария БЫСТРОВА  17:26  21/05/2016\n",
       "5          Rostov on Don  Александра БОРОДИНОВА  17:32  06/11/2021\n",
       "6            Meshchersky          Елена ТОЛСТЫХ  17:41  18/09/2021\n",
       "7  Pokrovskoe-Streshnevo     Наталия ГРИГОРЬЕВА  17:42  01/06/2019\n",
       "8         Ryazan Oreshek          Мария ИМЕНИНА  17:42  08/09/2018\n",
       "9                Druzhba            Nina ZARINA  17:45  08/06/2019"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(data.iloc[:,4:], axis=1).sort_values(by=[data.columns[2]]).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sitting-indonesian",
   "metadata": {},
   "source": [
    "### Топ5 женщин с наибольшим количеством рекордов на разных паркранах"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "danish-calgary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Людмила ХОДАКОВА         8\n",
       "Александра БОРОДИНОВА    3\n",
       "Elena SHAMSHINA          3\n",
       "Nina ZARINA              3\n",
       "Мария БАБИЧ              3\n",
       "Name: w_name, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.columns[1]].value_counts()[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "prostate-stuff",
   "metadata": {},
   "source": [
    "### 10 самых медленных паркранов (где женские рекорды пока не высокие)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "seven-correlation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>w_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Muromets</td>\n",
       "      <td>26:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Vorkuta Gorodskoy Park</td>\n",
       "      <td>26:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lebediny Ray</td>\n",
       "      <td>23:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Starye Sady</td>\n",
       "      <td>21:54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pavlovsky Posad</td>\n",
       "      <td>21:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Petrovskaya naberezhnaya</td>\n",
       "      <td>21:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Yarmarochnaya Ploshchad</td>\n",
       "      <td>21:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Strezhevoy Gorodskoy Park</td>\n",
       "      <td>21:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Komsomolsky</td>\n",
       "      <td>21:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Pur-Navolok</td>\n",
       "      <td>21:16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     parkrun w_time\n",
       "0                   Muromets  26:40\n",
       "1     Vorkuta Gorodskoy Park  26:25\n",
       "2               Lebediny Ray  23:56\n",
       "3                Starye Sady  21:54\n",
       "4            Pavlovsky Posad  21:39\n",
       "5   Petrovskaya naberezhnaya  21:38\n",
       "6    Yarmarochnaya Ploshchad  21:33\n",
       "7  Strezhevoy Gorodskoy Park  21:32\n",
       "8                Komsomolsky  21:20\n",
       "9                Pur-Navolok  21:16"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(data.iloc[:,3:], axis=1).drop(data.columns[1], axis=1)\\\n",
    ".sort_values(by=[data.columns[2]], ascending=False).reset_index(drop=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "former-italian",
   "metadata": {},
   "source": [
    "## Разное"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alleged-preservation",
   "metadata": {},
   "source": [
    "Проверка данных на консистентность"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "selected-copying",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 108 entries, 0 to 107\n",
      "Data columns (total 7 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   parkrun  108 non-null    object\n",
      " 1   w_name   108 non-null    object\n",
      " 2   w_time   108 non-null    object\n",
      " 3   w_date   108 non-null    object\n",
      " 4   m_name   108 non-null    object\n",
      " 5   m_time   108 non-null    object\n",
      " 6   m_date   108 non-null    object\n",
      "dtypes: object(7)\n",
      "memory usage: 6.0+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "internal-party",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(108, 7)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "informal-death",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['parkrun', 'w_name', 'w_time', 'w_date', 'm_name', 'm_time', 'm_date'], dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "annual-portugal",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[data.columns[5]] = ('00:' + data[data.columns[5]]).apply(pd.to_timedelta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "supposed-modern",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parkrun</th>\n",
       "      <th>w_name</th>\n",
       "      <th>w_time</th>\n",
       "      <th>w_date</th>\n",
       "      <th>m_name</th>\n",
       "      <th>m_time</th>\n",
       "      <th>m_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angarskie Prudy</td>\n",
       "      <td>Марина ЖАЛЫБИНА</td>\n",
       "      <td>20:24</td>\n",
       "      <td>27/07/2019</td>\n",
       "      <td>Фёдор БАКУЛОВ</td>\n",
       "      <td>16:53</td>\n",
       "      <td>28/09/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Babushkinsky na Yauze</td>\n",
       "      <td>Женя Л</td>\n",
       "      <td>19:58</td>\n",
       "      <td>03/04/2021</td>\n",
       "      <td>Александр ХАНКОВ</td>\n",
       "      <td>16:41</td>\n",
       "      <td>10/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Balashikha Zarechnaya</td>\n",
       "      <td>Наталья СТУДЕНИКИНА</td>\n",
       "      <td>17:53</td>\n",
       "      <td>03/04/2021</td>\n",
       "      <td>Роман САЗОНОВ</td>\n",
       "      <td>15:40</td>\n",
       "      <td>08/09/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Belgorod Park Pobedy</td>\n",
       "      <td>Ксения АВДЕЕВА</td>\n",
       "      <td>19:56</td>\n",
       "      <td>10/08/2019</td>\n",
       "      <td>Михаил ЗВЯГИНЦЕВ</td>\n",
       "      <td>16:26</td>\n",
       "      <td>07/03/2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bitsa</td>\n",
       "      <td>Анна БАЛАКШИНА</td>\n",
       "      <td>18:52</td>\n",
       "      <td>12/08/2017</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>16:04</td>\n",
       "      <td>27/10/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Boeva Dacha</td>\n",
       "      <td>Анна КАРАСЮК</td>\n",
       "      <td>19:36</td>\n",
       "      <td>19/12/2020</td>\n",
       "      <td>Иван БУБНОВ</td>\n",
       "      <td>15:58</td>\n",
       "      <td>10/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Butovo</td>\n",
       "      <td>Дарья ЧУДАЙКИНА</td>\n",
       "      <td>18:39</td>\n",
       "      <td>22/08/2015</td>\n",
       "      <td>Виктор НИКОЛАЕВ</td>\n",
       "      <td>15:57</td>\n",
       "      <td>06/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cheboksary naberezhnaya</td>\n",
       "      <td>Зинаида ОБРУЧКОВА</td>\n",
       "      <td>18:05</td>\n",
       "      <td>Новый рекорд на этой неделе</td>\n",
       "      <td>Михаил УМНОВ</td>\n",
       "      <td>16:51</td>\n",
       "      <td>17/04/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chelyabinsk</td>\n",
       "      <td>Антонина ОГОРОДНИКОВА</td>\n",
       "      <td>18:18</td>\n",
       "      <td>23/07/2016</td>\n",
       "      <td>Алексей РЫЖОВ</td>\n",
       "      <td>16:17</td>\n",
       "      <td>24/09/2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chelyabinsk Ekopark</td>\n",
       "      <td>Анастасия СОКОЛОВА</td>\n",
       "      <td>20:48</td>\n",
       "      <td>17/04/2021</td>\n",
       "      <td>Никита СПИРИДОНОВ</td>\n",
       "      <td>16:42</td>\n",
       "      <td>01/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chertanovo Pokrovsky Park</td>\n",
       "      <td>Elena SHAMSHINA</td>\n",
       "      <td>20:14</td>\n",
       "      <td>09/11/2019</td>\n",
       "      <td>Андрей ТАРАБРИН</td>\n",
       "      <td>17:43</td>\n",
       "      <td>09/11/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Dolgoprudny</td>\n",
       "      <td>Марина ГЕОРГИЕВА</td>\n",
       "      <td>19:22</td>\n",
       "      <td>01/06/2019</td>\n",
       "      <td>Платон КИСЕЛЕВ</td>\n",
       "      <td>16:24</td>\n",
       "      <td>04/05/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Druzhba</td>\n",
       "      <td>Nina ZARINA</td>\n",
       "      <td>17:45</td>\n",
       "      <td>08/06/2019</td>\n",
       "      <td>Алекс БАЗАРЕЛЛО</td>\n",
       "      <td>17:15</td>\n",
       "      <td>18/01/2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Elagin Ostrov</td>\n",
       "      <td>Анжелика ШЕВЧЕНКО</td>\n",
       "      <td>17:14</td>\n",
       "      <td>10/08/2019</td>\n",
       "      <td>Валентин СМИРНОВ</td>\n",
       "      <td>14:53</td>\n",
       "      <td>10/08/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Filatov Lug</td>\n",
       "      <td>Диана МАРТЫНОВА</td>\n",
       "      <td>20:42</td>\n",
       "      <td>10/04/2021</td>\n",
       "      <td>Сергей БАБУШИНОВ</td>\n",
       "      <td>17:09</td>\n",
       "      <td>01/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fili</td>\n",
       "      <td>Екатерина ШЛЯХОВА</td>\n",
       "      <td>20:45</td>\n",
       "      <td>10/04/2021</td>\n",
       "      <td>Дмитрий КОРОВИН</td>\n",
       "      <td>17:15</td>\n",
       "      <td>Новый рекорд на этой неделе</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Gatchina Prioratsky</td>\n",
       "      <td>Вера ВИНОГРАДОВА</td>\n",
       "      <td>20:45</td>\n",
       "      <td>05/10/2019</td>\n",
       "      <td>Yury VINOGRADOV</td>\n",
       "      <td>18:00</td>\n",
       "      <td>20/07/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Gorky Park</td>\n",
       "      <td>Мария БЫСТРОВА</td>\n",
       "      <td>17:26</td>\n",
       "      <td>21/05/2016</td>\n",
       "      <td>Вячеслав СОКОЛОВ</td>\n",
       "      <td>14:50</td>\n",
       "      <td>27/04/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gorodskoy Park Semya</td>\n",
       "      <td>Оксана ХАФИЗОВА</td>\n",
       "      <td>20:40</td>\n",
       "      <td>17/04/2021</td>\n",
       "      <td>Вячеслав ПЕТРОВ</td>\n",
       "      <td>18:08</td>\n",
       "      <td>01/05/2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gubernsky Park</td>\n",
       "      <td>Валерия ЗУБКОВА</td>\n",
       "      <td>20:36</td>\n",
       "      <td>24/04/2021</td>\n",
       "      <td>Константин ШИШОВ</td>\n",
       "      <td>17:25</td>\n",
       "      <td>24/04/2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      parkrun                 w_name w_time  \\\n",
       "0             Angarskie Prudy        Марина ЖАЛЫБИНА  20:24   \n",
       "1       Babushkinsky na Yauze                 Женя Л  19:58   \n",
       "2       Balashikha Zarechnaya    Наталья СТУДЕНИКИНА  17:53   \n",
       "3        Belgorod Park Pobedy         Ксения АВДЕЕВА  19:56   \n",
       "4                       Bitsa         Анна БАЛАКШИНА  18:52   \n",
       "5                 Boeva Dacha           Анна КАРАСЮК  19:36   \n",
       "6                      Butovo        Дарья ЧУДАЙКИНА  18:39   \n",
       "7     Cheboksary naberezhnaya      Зинаида ОБРУЧКОВА  18:05   \n",
       "8                 Chelyabinsk  Антонина ОГОРОДНИКОВА  18:18   \n",
       "9         Chelyabinsk Ekopark     Анастасия СОКОЛОВА  20:48   \n",
       "10  Chertanovo Pokrovsky Park        Elena SHAMSHINA  20:14   \n",
       "11                Dolgoprudny       Марина ГЕОРГИЕВА  19:22   \n",
       "12                    Druzhba            Nina ZARINA  17:45   \n",
       "13              Elagin Ostrov      Анжелика ШЕВЧЕНКО  17:14   \n",
       "14                Filatov Lug        Диана МАРТЫНОВА  20:42   \n",
       "15                       Fili      Екатерина ШЛЯХОВА  20:45   \n",
       "16        Gatchina Prioratsky       Вера ВИНОГРАДОВА  20:45   \n",
       "17                 Gorky Park         Мария БЫСТРОВА  17:26   \n",
       "18       Gorodskoy Park Semya        Оксана ХАФИЗОВА  20:40   \n",
       "19             Gubernsky Park        Валерия ЗУБКОВА  20:36   \n",
       "\n",
       "                         w_date             m_name m_time  \\\n",
       "0                    27/07/2019      Фёдор БАКУЛОВ  16:53   \n",
       "1                    03/04/2021   Александр ХАНКОВ  16:41   \n",
       "2                    03/04/2021      Роман САЗОНОВ  15:40   \n",
       "3                    10/08/2019   Михаил ЗВЯГИНЦЕВ  16:26   \n",
       "4                    12/08/2017    Виктор НИКОЛАЕВ  16:04   \n",
       "5                    19/12/2020        Иван БУБНОВ  15:58   \n",
       "6                    22/08/2015    Виктор НИКОЛАЕВ  15:57   \n",
       "7   Новый рекорд на этой неделе       Михаил УМНОВ  16:51   \n",
       "8                    23/07/2016      Алексей РЫЖОВ  16:17   \n",
       "9                    17/04/2021  Никита СПИРИДОНОВ  16:42   \n",
       "10                   09/11/2019    Андрей ТАРАБРИН  17:43   \n",
       "11                   01/06/2019     Платон КИСЕЛЕВ  16:24   \n",
       "12                   08/06/2019    Алекс БАЗАРЕЛЛО  17:15   \n",
       "13                   10/08/2019   Валентин СМИРНОВ  14:53   \n",
       "14                   10/04/2021   Сергей БАБУШИНОВ  17:09   \n",
       "15                   10/04/2021    Дмитрий КОРОВИН  17:15   \n",
       "16                   05/10/2019    Yury VINOGRADOV  18:00   \n",
       "17                   21/05/2016   Вячеслав СОКОЛОВ  14:50   \n",
       "18                   17/04/2021    Вячеслав ПЕТРОВ  18:08   \n",
       "19                   24/04/2021   Константин ШИШОВ  17:25   \n",
       "\n",
       "                         m_date  \n",
       "0                    28/09/2019  \n",
       "1                    10/04/2021  \n",
       "2                    08/09/2018  \n",
       "3                    07/03/2020  \n",
       "4                    27/10/2018  \n",
       "5                    10/04/2021  \n",
       "6                    06/07/2019  \n",
       "7                    17/04/2021  \n",
       "8                    24/09/2016  \n",
       "9                    01/05/2021  \n",
       "10                   09/11/2019  \n",
       "11                   04/05/2019  \n",
       "12                   18/01/2020  \n",
       "13                   10/08/2019  \n",
       "14                   01/05/2021  \n",
       "15  Новый рекорд на этой неделе  \n",
       "16                   20/07/2019  \n",
       "17                   27/04/2019  \n",
       "18                   01/05/2021  \n",
       "19                   24/04/2021  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "necessary-milwaukee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 92 entries, 0 to 91\n",
      "Data columns (total 7 columns):\n",
      " #   Column               Non-Null Count  Dtype          \n",
      "---  ------               --------------  -----          \n",
      " 0   (Parkrun, Паркран)   92 non-null     object         \n",
      " 1   (Женщины, Участник)  92 non-null     object         \n",
      " 2   (Женщины, Время)     92 non-null     object         \n",
      " 3   (Женщины, Дата)      92 non-null     object         \n",
      " 4   (Мужчины, Участник)  92 non-null     object         \n",
      " 5   (Мужчины, Время)     92 non-null     timedelta64[ns]\n",
      " 6   (Мужчины, Дата)      92 non-null     object         \n",
      "dtypes: object(6), timedelta64[ns](1)\n",
      "memory usage: 5.2+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "modern-benjamin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0 days 00:20:24\n",
       "1    0 days 00:19:58\n",
       "2    0 days 00:17:53\n",
       "3    0 days 00:19:56\n",
       "4    0 days 00:18:52\n",
       "5    0 days 00:19:36\n",
       "6    0 days 00:18:39\n",
       "7    0 days 00:19:14\n",
       "8    0 days 00:18:18\n",
       "9    0 days 00:20:48\n",
       "10   0 days 00:20:14\n",
       "11   0 days 00:19:22\n",
       "12   0 days 00:17:45\n",
       "13   0 days 00:17:14\n",
       "14   0 days 00:20:42\n",
       "15   0 days 00:20:45\n",
       "16   0 days 00:20:45\n",
       "17   0 days 00:17:26\n",
       "18   0 days 00:20:40\n",
       "19   0 days 00:22:03\n",
       "20   0 days 00:18:27\n",
       "21   0 days 00:20:29\n",
       "22   0 days 00:19:57\n",
       "23   0 days 00:19:34\n",
       "24   0 days 00:19:18\n",
       "25   0 days 00:17:57\n",
       "26   0 days 00:20:10\n",
       "27   0 days 00:22:09\n",
       "28   0 days 00:19:11\n",
       "29   0 days 00:18:47\n",
       "30   0 days 00:19:05\n",
       "31   0 days 00:22:17\n",
       "32   0 days 00:18:16\n",
       "33   0 days 00:22:08\n",
       "34   0 days 00:23:43\n",
       "35   0 days 00:23:52\n",
       "36   0 days 00:19:07\n",
       "37   0 days 00:18:12\n",
       "38   0 days 00:19:14\n",
       "39   0 days 00:18:22\n",
       "40   0 days 00:21:01\n",
       "41   0 days 00:18:01\n",
       "42   0 days 00:19:42\n",
       "43   0 days 00:22:28\n",
       "44   0 days 00:21:26\n",
       "45   0 days 00:19:57\n",
       "46   0 days 00:19:06\n",
       "47   0 days 00:19:59\n",
       "48   0 days 00:20:00\n",
       "49   0 days 00:20:56\n",
       "50   0 days 00:21:54\n",
       "51   0 days 00:21:50\n",
       "52   0 days 00:21:39\n",
       "53   0 days 00:18:39\n",
       "54   0 days 00:18:23\n",
       "55   0 days 00:19:25\n",
       "56   0 days 00:17:42\n",
       "57   0 days 00:18:32\n",
       "58   0 days 00:21:23\n",
       "59   0 days 00:17:24\n",
       "60   0 days 00:19:02\n",
       "61   0 days 00:18:59\n",
       "62   0 days 00:17:42\n",
       "63   0 days 00:19:27\n",
       "64   0 days 00:20:54\n",
       "65   0 days 00:18:42\n",
       "66   0 days 00:19:34\n",
       "67   0 days 00:21:23\n",
       "68   0 days 00:19:32\n",
       "69   0 days 00:20:17\n",
       "70   0 days 00:18:08\n",
       "71   0 days 00:22:08\n",
       "72   0 days 00:18:31\n",
       "73   0 days 00:20:29\n",
       "74   0 days 00:29:09\n",
       "75   0 days 00:19:04\n",
       "76   0 days 00:18:17\n",
       "77   0 days 00:22:05\n",
       "78   0 days 00:19:59\n",
       "79   0 days 00:18:11\n",
       "80   0 days 00:22:06\n",
       "81   0 days 00:16:02\n",
       "82   0 days 00:19:24\n",
       "83   0 days 00:18:39\n",
       "84   0 days 00:18:25\n",
       "85   0 days 00:19:12\n",
       "86   0 days 00:20:24\n",
       "87   0 days 00:25:38\n",
       "88   0 days 00:20:13\n",
       "89   0 days 00:20:02\n",
       "90   0 days 00:18:43\n",
       "91   0 days 00:20:19\n",
       "Name: (Женщины, Время), dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_timedelta('00:' + data[data.columns[2]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "enormous-dinner",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[data.columns[6]] = data[data.columns[6]].astype('str')\n",
    "#df['B'] = df['B'].astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "liked-salem",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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