+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 204,
- "metadata": {},
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 205,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " publishedweek1620201.xlsx publishedweek522018.ods\n",
- " publishedweek172020.csv publishedweek522018withupdatedrespiratoryrow.xls\n",
- " publishedweek172020.ods publishedweek522019.csv\n",
- " publishedweek172020.xlsx publishedweek522019.ods\n",
- " publishedweek182020.csv publishedweek522019.xls\n",
- " publishedweek182020.ods scotland-deaths-2020.csv\n",
- " publishedweek182020.xlsx weekly-deaths-april-20-scotland.csv\n",
- " publishedweek2015.csv\t weekly-deaths-april-20-scotland.xlsx\n",
- " publishedweek2015.ods\t 'Weekly_Deaths - Historical_NI.xls'\n",
- " publishedweek2015.xls\t Weekly_Deaths_NI_2015.csv\n",
- " publishedweek522016.csv Weekly_Deaths_NI_2016.csv\n",
- " publishedweek522016.ods Weekly_Deaths_NI_2017.csv\n",
- " publishedweek522016.xls Weekly_Deaths_NI_2018.csv\n",
- " publishedweek522017.csv Weekly_Deaths_NI_2019.csv\n",
- " publishedweek522017.ods Weekly_Deaths_NI_2020.csv\n",
- " publishedweek522017.xls Weekly_Deaths_NI_2020.xls\n",
- " publishedweek522018.csv weekly-march-20-scotland.zip\n"
- ]
- }
- ],
- "source": [
- "!ls uk-deaths-data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 206,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh15i = raw_data_2015.iloc[:, [2]]\n",
- "dh15i.columns = ['total_2015']\n",
- "# dh15i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 207,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh16i = raw_data_2016.iloc[:, [2]]\n",
- "dh16i.columns = ['total_2016']\n",
- "# dh16i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 208,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh17i = raw_data_2017.iloc[:, [2]]\n",
- "dh17i.columns = ['total_2017']\n",
- "# dh17i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 209,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh18i = raw_data_2018.iloc[:, [2]]\n",
- "dh18i.columns = ['total_2018']\n",
- "# dh18i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 210,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh19i = raw_data_2019.iloc[:, [2]]\n",
- "dh19i.columns = ['total_2019']\n",
- "# dh19i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 211,
- "metadata": {},
- "outputs": [
- {
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- " <thead>\n",
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- " <th></th>\n",
- " <th>total_2020</th>\n",
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- " total_2020\n",
- "1 353\n",
- "2 395\n",
- "3 411\n",
- "4 347\n",
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- "execution_count": 211,
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- "source": [
- "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "deaths_headlines_i = raw_data_2020_i.iloc[:, [1]]\n",
- "deaths_headlines_i.columns = ['total_2020']\n",
- "deaths_headlines_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
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- "execution_count": 212,
- "metadata": {
- "scrolled": true
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- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-april-20-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
- ]
- },
- {
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- "execution_count": 213,
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- " <th>total_2018</th>\n",
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- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
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- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
- "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
- "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
- "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 NaN 981.0 1041.0 1040.0 988.0 1040\n",
- "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
- "30 NaN 1041.0 933.0 978.0 979.0 956\n",
- "31 NaN 1020.0 969.0 1011.0 987.0 985\n",
- "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
- "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
- "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
- "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
- "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
- "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 NaN NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 213,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 214,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek182020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 215,
- "metadata": {},
- "outputs": [],
- "source": [
- "# raw_data_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 216,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1 787\n",
- "2 939\n",
- "3 767\n",
- "4 723\n",
- "5 727\n",
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- "7 728\n",
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- "15 928\n",
- "16 1169\n",
- "17 1124\n",
- "18 929\n",
- "Name: (W92000004, Wales), dtype: int64"
- ]
- },
- "execution_count": 216,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020['W92000004', 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 217,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2019.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 218,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2018.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 219,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2017.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 220,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 221,
- "metadata": {},
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 222,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th></th>\n",
- " <th>total_2020</th>\n",
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- " <td>17024</td>\n",
- " </tr>\n",
- " </tbody>\n",
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- "text/plain": [
- " total_2020\n",
- "1 11467\n",
- "2 13119\n",
- "3 12223\n",
- "4 11133\n",
- "5 10885\n",
- "6 10296\n",
- "7 10216\n",
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- "16 21182\n",
- "17 20873\n",
- "18 17024"
- ]
- },
- "execution_count": 222,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = raw_data_2020.iloc[:, [1]]\n",
- "deaths_headlines_e.columns = ['total_2020']\n",
- "deaths_headlines_w = raw_data_2020['W92000004']\n",
- "deaths_headlines_e.columns = ['total_2020']\n",
- "deaths_headlines_w.columns = ['total_2020']\n",
- "deaths_headlines_e.total_2020 -= deaths_headlines_w.total_2020\n",
- "deaths_headlines_e.head()\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 223,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " total_2019\n",
- "1 10237\n",
- "2 11800\n",
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- ]
- },
- "execution_count": 223,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh19e = raw_data_2019.iloc[:, [1]]\n",
- "dh19w = raw_data_2019['W92000004']\n",
- "dh19e.columns = ['total_2019']\n",
- "dh19w.columns = ['total_2019']\n",
- "dh19e.total_2019 -= dh19w.total_2019\n",
- "dh19e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 224,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " total_2019\n",
- "1 718\n",
- "2 809\n",
- "3 683\n",
- "4 734\n",
- "5 745"
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- },
- "execution_count": 224,
- "metadata": {},
- "output_type": "execute_result"
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- "dh19w.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 225,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh18e = raw_data_2018.iloc[:, [1]]\n",
- "dh18w = raw_data_2018['W92000004']\n",
- "dh18e.columns = ['total_2018']\n",
- "dh18w.columns = ['total_2018']\n",
- "dh18e.total_2018 -= dh18w.total_2018\n",
- "# dh18e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 226,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh17e = raw_data_2017.iloc[:, [1]]\n",
- "dh17w = raw_data_2017['W92000004']\n",
- "dh17e.columns = ['total_2017']\n",
- "dh17w.columns = ['total_2017']\n",
- "dh17e.total_2017 -= dh17w.total_2017\n",
- "# dh17e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 227,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh16e = raw_data_2016.iloc[:, [1]]\n",
- "dh16w = raw_data_2016['W92000004']\n",
- "dh16e.columns = ['total_2016']\n",
- "dh16w.columns = ['total_2016']\n",
- "dh16e.total_2016 -= dh16w.total_2016\n",
- "# dh16e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 228,
- "metadata": {},
- "outputs": [],
- "source": [
- "dh15e = raw_data_2015.iloc[:, [1]]\n",
- "dh15w = raw_data_2015['W92000004']\n",
- "dh15e.columns = ['total_2015']\n",
- "dh15w.columns = ['total_2015']\n",
- "dh15e.total_2015 -= dh15w.total_2015\n",
- "# dh15e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 229,
- "metadata": {},
- "outputs": [],
- "source": [
- "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
- "# dh18.columns = ['total_2018', 'total_previous']\n",
- "# # dh18.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 230,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
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- " <td>11800</td>\n",
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- " <td>12890</td>\n",
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- " <td>15206</td>\n",
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- " <td>11177</td>\n",
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- " <td>13930</td>\n",
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- " <td>4</td>\n",
- " <td>11133.0</td>\n",
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- " <td>13106</td>\n",
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- " <td>10885.0</td>\n",
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- " <td>10362</td>\n",
- " <td>12099</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>6</td>\n",
- " <td>10296.0</td>\n",
- " <td>10959</td>\n",
- " <td>11694</td>\n",
- " <td>11546</td>\n",
- " <td>10470</td>\n",
- " <td>11319</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>10216.0</td>\n",
- " <td>11076</td>\n",
- " <td>11443</td>\n",
- " <td>10954</td>\n",
- " <td>9933</td>\n",
- " <td>11112</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>10162.0</td>\n",
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- " <td>9</td>\n",
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- " <td>10533</td>\n",
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- " <td>10736</td>\n",
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- " <tr>\n",
- " <td>10</td>\n",
- " <td>10243.0</td>\n",
- " <td>10276</td>\n",
- " <td>12101</td>\n",
- " <td>10443</td>\n",
- " <td>10276</td>\n",
- " <td>10757</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>10344.0</td>\n",
- " <td>9901</td>\n",
- " <td>11870</td>\n",
- " <td>10044</td>\n",
- " <td>10284</td>\n",
- " <td>10290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>9926.0</td>\n",
- " <td>9774</td>\n",
- " <td>11139</td>\n",
- " <td>9690</td>\n",
- " <td>8967</td>\n",
- " <td>9888</td>\n",
- " </tr>\n",
- " <tr>\n",
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- " <td>10422.0</td>\n",
- " <td>9213</td>\n",
- " <td>9308</td>\n",
- " <td>9369</td>\n",
- " <td>9574</td>\n",
- " <td>9827</td>\n",
- " </tr>\n",
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- " <td>10857</td>\n",
- " <td>8482</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>17588.0</td>\n",
- " <td>9654</td>\n",
- " <td>11558</td>\n",
- " <td>7916</td>\n",
- " <td>10679</td>\n",
- " <td>9429</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>16</td>\n",
- " <td>21182.0</td>\n",
- " <td>8445</td>\n",
- " <td>10535</td>\n",
- " <td>8990</td>\n",
- " <td>10211</td>\n",
- " <td>10968</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>17</td>\n",
- " <td>20873.0</td>\n",
- " <td>9381</td>\n",
- " <td>9692</td>\n",
- " <td>10181</td>\n",
- " <td>9784</td>\n",
- " <td>9937</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>18</td>\n",
- " <td>17024.0</td>\n",
- " <td>10519</td>\n",
- " <td>9520</td>\n",
- " <td>8464</td>\n",
- " <td>8568</td>\n",
- " <td>9506</td>\n",
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- " <tr>\n",
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- " <td>21</td>\n",
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- " <td>9033</td>\n",
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- " <td>9115</td>\n",
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- " <td>22</td>\n",
- " <td>NaN</td>\n",
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- " <td>8808</td>\n",
- " <td>8942</td>\n",
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- " <td>8916</td>\n",
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- " <td>9019</td>\n",
- " <td>8807</td>\n",
- " <td>8717</td>\n",
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- " <td>8947</td>\n",
- " <td>8613</td>\n",
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- " <td>8679</td>\n",
- " <td>8593</td>\n",
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- " <td>8725</td>\n",
- " <td>8262</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>31</td>\n",
- " <td>NaN</td>\n",
- " <td>8701</td>\n",
- " <td>8587</td>\n",
- " <td>8351</td>\n",
- " <td>8602</td>\n",
- " <td>8071</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>32</td>\n",
- " <td>NaN</td>\n",
- " <td>8580</td>\n",
- " <td>8782</td>\n",
- " <td>8466</td>\n",
- " <td>8531</td>\n",
- " <td>8298</td>\n",
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- " <tr>\n",
- " <td>33</td>\n",
- " <td>NaN</td>\n",
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- " <td>8312</td>\n",
- " <td>8707</td>\n",
- " <td>8496</td>\n",
- " <td>8600</td>\n",
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- " <tr>\n",
- " <td>34</td>\n",
- " <td>NaN</td>\n",
- " <td>8441</td>\n",
- " <td>8413</td>\n",
- " <td>8812</td>\n",
- " <td>8700</td>\n",
- " <td>8564</td>\n",
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- " <td>35</td>\n",
- " <td>NaN</td>\n",
- " <td>7684</td>\n",
- " <td>7354</td>\n",
- " <td>7594</td>\n",
- " <td>7453</td>\n",
- " <td>8423</td>\n",
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- " <td>36</td>\n",
- " <td>NaN</td>\n",
- " <td>9113</td>\n",
- " <td>8851</td>\n",
- " <td>8955</td>\n",
- " <td>8847</td>\n",
- " <td>7389</td>\n",
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- " <td>37</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>8612</td>\n",
- " <td>8845</td>\n",
- " <td>8548</td>\n",
- " <td>8704</td>\n",
- " </tr>\n",
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- " <td>38</td>\n",
- " <td>NaN</td>\n",
- " <td>8868</td>\n",
- " <td>8707</td>\n",
- " <td>8949</td>\n",
- " <td>8382</td>\n",
- " <td>8542</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>8906</td>\n",
- " <td>8590</td>\n",
- " <td>9096</td>\n",
- " <td>8402</td>\n",
- " <td>8865</td>\n",
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- " <tr>\n",
- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>9202</td>\n",
- " <td>8908</td>\n",
- " <td>9147</td>\n",
- " <td>8729</td>\n",
- " <td>8858</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>9383</td>\n",
- " <td>9043</td>\n",
- " <td>9300</td>\n",
- " <td>9132</td>\n",
- " <td>9124</td>\n",
- " </tr>\n",
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- " <td>42</td>\n",
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- " <td>9534</td>\n",
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- " <td>9104</td>\n",
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- " <td>NaN</td>\n",
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- " <td>8925</td>\n",
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- " <td>9508</td>\n",
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- " <tr>\n",
- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>10044</td>\n",
- " <td>9509</td>\n",
- " <td>9748</td>\n",
- " <td>9844</td>\n",
- " <td>9388</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>9537</td>\n",
- " <td>9609</td>\n",
- " <td>10013</td>\n",
- " <td>9325</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>10183</td>\n",
- " <td>9300</td>\n",
- " <td>9982</td>\n",
- " <td>9942</td>\n",
- " <td>9219</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>10269</td>\n",
- " <td>9360</td>\n",
- " <td>9902</td>\n",
- " <td>9796</td>\n",
- " <td>9233</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>49</td>\n",
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- " <td>10151</td>\n",
- " <td>10530</td>\n",
- " <td>9706</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>10489</td>\n",
- " <td>9842</td>\n",
- " <td>10509</td>\n",
- " <td>9870</td>\n",
- " <td>9581</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>11159</td>\n",
- " <td>10392</td>\n",
- " <td>11755</td>\n",
- " <td>10802</td>\n",
- " <td>10043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>52</td>\n",
- " <td>NaN</td>\n",
- " <td>7037</td>\n",
- " <td>6670</td>\n",
- " <td>7946</td>\n",
- " <td>7445</td>\n",
- " <td>8095</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 11467.0 10237 11940 11247 12236 11561\n",
- "2 13119.0 11800 14146 12890 10790 15206\n",
- "3 12223.0 11177 13371 12775 10753 13930\n",
- "4 11133.0 11006 13085 11996 10600 13106\n",
- "5 10885.0 10552 12470 11736 10362 12099\n",
- "6 10296.0 10959 11694 11546 10470 11319\n",
- "7 10216.0 11076 11443 10954 9933 11112\n",
- "8 10162.0 10600 11353 11093 10360 10695\n",
- "9 10165.0 10360 10220 10533 10564 10736\n",
- "10 10243.0 10276 12101 10443 10276 10757\n",
- "11 10344.0 9901 11870 10044 10284 10290\n",
- "12 9926.0 9774 11139 9690 8967 9888\n",
- "13 10422.0 9213 9308 9369 9574 9827\n",
- "14 15467.0 9484 10064 9297 10857 8482\n",
- "15 17588.0 9654 11558 7916 10679 9429\n",
- "16 21182.0 8445 10535 8990 10211 10968\n",
- "17 20873.0 9381 9692 10181 9784 9937\n",
- "18 17024.0 10519 9520 8464 8568 9506\n",
- "19 NaN 8455 8094 10006 9985 8273\n",
- "20 NaN 9614 9474 9673 9342 9668\n",
- "21 NaN 9657 9033 9438 9115 9391\n",
- "22 NaN 7742 7609 7746 7409 7625\n",
- "23 NaN 9514 9343 9182 9289 9509\n",
- "24 NaN 8847 8782 8768 8808 8942\n",
- "25 NaN 8916 8694 9019 8807 8717\n",
- "26 NaN 8947 8613 8788 8679 8593\n",
- "27 NaN 8528 8633 8707 8614 8670\n",
- "28 NaN 8591 8710 8812 8789 8461\n",
- "29 NaN 8527 8579 8562 8790 8228\n",
- "30 NaN 8569 8581 8296 8725 8262\n",
- "31 NaN 8701 8587 8351 8602 8071\n",
- "32 NaN 8580 8782 8466 8531 8298\n",
- "33 NaN 8504 8312 8707 8496 8600\n",
- "34 NaN 8441 8413 8812 8700 8564\n",
- "35 NaN 7684 7354 7594 7453 8423\n",
- "36 NaN 9113 8851 8955 8847 7389\n",
- "37 NaN 8946 8612 8845 8548 8704\n",
- "38 NaN 8868 8707 8949 8382 8542\n",
- "39 NaN 8906 8590 9096 8402 8865\n",
- "40 NaN 9202 8908 9147 8729 8858\n",
- "41 NaN 9383 9043 9300 9132 9124\n",
- "42 NaN 9534 9224 9381 9144 8899\n",
- "43 NaN 9351 8970 9131 9100 9104\n",
- "44 NaN 9522 8925 9389 9508 9025\n",
- "45 NaN 10044 9509 9748 9844 9388\n",
- "46 NaN 9976 9537 9609 10013 9325\n",
- "47 NaN 10183 9300 9982 9942 9219\n",
- "48 NaN 10269 9360 9902 9796 9233\n",
- "49 NaN 10079 9613 10151 10530 9706\n",
- "50 NaN 10489 9842 10509 9870 9581\n",
- "51 NaN 11159 10392 11755 10802 10043\n",
- "52 NaN 7037 6670 7946 7445 8095"
- ]
- },
- "execution_count": 230,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 231,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
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- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
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- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
- "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
- "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
- "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
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- "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
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- "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
- "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
- "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
- "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
- "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
- "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
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- ]
- },
- "execution_count": 231,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s = deaths_headlines_s.loc[1:52]\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 232,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <td>657</td>\n",
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- " <td>634</td>\n",
- " <td>734</td>\n",
- " <td>712</td>\n",
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- " <td>11</td>\n",
- " <td>675.0</td>\n",
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- " <td>918</td>\n",
- " <td>653</td>\n",
- " <td>738</td>\n",
- " <td>661</td>\n",
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- " <td>12</td>\n",
- " <td>719.0</td>\n",
- " <td>628</td>\n",
- " <td>774</td>\n",
- " <td>635</td>\n",
- " <td>668</td>\n",
- " <td>680</td>\n",
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- " <td>742</td>\n",
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- " <td>714</td>\n",
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- " <td>629</td>\n",
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- " <td>470</td>\n",
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- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 787.0 718 783 744 809 725\n",
- "2 939.0 809 904 825 711 1031\n",
- "3 767.0 683 885 835 720 936\n",
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- "14 920.0 642 730 642 742 580\n",
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- "24 NaN 598 561 599 578 606\n",
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- "26 NaN 564 599 546 549 597\n",
- "27 NaN 534 625 556 524 535\n",
- "28 NaN 588 583 564 599 554\n",
- "29 NaN 553 548 551 560 574\n",
- "30 NaN 543 560 586 610 529\n",
- "31 NaN 570 574 590 580 546\n",
- "32 NaN 542 537 572 641 564\n",
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- ]
- },
- "execution_count": 232,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_w"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 233,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>353.0</td>\n",
- " <td>365</td>\n",
- " <td>447</td>\n",
- " <td>416</td>\n",
- " <td>424</td>\n",
- " <td>319</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>395.0</td>\n",
- " <td>371</td>\n",
- " <td>481</td>\n",
- " <td>434</td>\n",
- " <td>348</td>\n",
- " <td>373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>411.0</td>\n",
- " <td>332</td>\n",
- " <td>470</td>\n",
- " <td>397</td>\n",
- " <td>372</td>\n",
- " <td>383</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>347.0</td>\n",
- " <td>335</td>\n",
- " <td>426</td>\n",
- " <td>387</td>\n",
- " <td>355</td>\n",
- " <td>397</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>323.0</td>\n",
- " <td>296</td>\n",
- " <td>433</td>\n",
- " <td>371</td>\n",
- " <td>314</td>\n",
- " <td>374</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>6</td>\n",
- " <td>332.0</td>\n",
- " <td>319</td>\n",
- " <td>351</td>\n",
- " <td>336</td>\n",
- " <td>310</td>\n",
- " <td>347</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>306.0</td>\n",
- " <td>342</td>\n",
- " <td>364</td>\n",
- " <td>337</td>\n",
- " <td>217</td>\n",
- " <td>328</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>297.0</td>\n",
- " <td>337</td>\n",
- " <td>366</td>\n",
- " <td>351</td>\n",
- " <td>423</td>\n",
- " <td>317</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
- " <td>347.0</td>\n",
- " <td>310</td>\n",
- " <td>314</td>\n",
- " <td>352</td>\n",
- " <td>298</td>\n",
- " <td>401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>312.0</td>\n",
- " <td>342</td>\n",
- " <td>387</td>\n",
- " <td>357</td>\n",
- " <td>309</td>\n",
- " <td>346</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>324.0</td>\n",
- " <td>343</td>\n",
- " <td>359</td>\n",
- " <td>251</td>\n",
- " <td>292</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>271.0</td>\n",
- " <td>294</td>\n",
- " <td>326</td>\n",
- " <td>356</td>\n",
- " <td>306</td>\n",
- " <td>310</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>13</td>\n",
- " <td>287.0</td>\n",
- " <td>307</td>\n",
- " <td>319</td>\n",
- " <td>314</td>\n",
- " <td>280</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>14</td>\n",
- " <td>434.0</td>\n",
- " <td>287</td>\n",
- " <td>286</td>\n",
- " <td>306</td>\n",
- " <td>295</td>\n",
- " <td>221</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>435.0</td>\n",
- " <td>301</td>\n",
- " <td>350</td>\n",
- " <td>270</td>\n",
- " <td>292</td>\n",
- " <td>294</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>16</td>\n",
- " <td>424.0</td>\n",
- " <td>316</td>\n",
- " <td>280</td>\n",
- " <td>245</td>\n",
- " <td>293</td>\n",
- " <td>327</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>17</td>\n",
- " <td>470.0</td>\n",
- " <td>272</td>\n",
- " <td>282</td>\n",
- " <td>327</td>\n",
- " <td>306</td>\n",
- " <td>316</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>18</td>\n",
- " <td>427.0</td>\n",
- " <td>357</td>\n",
- " <td>292</td>\n",
- " <td>258</td>\n",
- " <td>258</td>\n",
- " <td>335</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>19</td>\n",
- " <td>NaN</td>\n",
- " <td>288</td>\n",
- " <td>230</td>\n",
- " <td>302</td>\n",
- " <td>318</td>\n",
- " <td>256</td>\n",
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- " <tr>\n",
- " <td>20</td>\n",
- " <td>NaN</td>\n",
- " <td>330</td>\n",
- " <td>268</td>\n",
- " <td>315</td>\n",
- " <td>259</td>\n",
- " <td>299</td>\n",
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- " <td>21</td>\n",
- " <td>NaN</td>\n",
- " <td>308</td>\n",
- " <td>268</td>\n",
- " <td>328</td>\n",
- " <td>280</td>\n",
- " <td>290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>22</td>\n",
- " <td>NaN</td>\n",
- " <td>245</td>\n",
- " <td>252</td>\n",
- " <td>256</td>\n",
- " <td>284</td>\n",
- " <td>258</td>\n",
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- " <td>23</td>\n",
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- " <td>279</td>\n",
- " <td>276</td>\n",
- " <td>292</td>\n",
- " <td>275</td>\n",
- " <td>340</td>\n",
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- " <td>24</td>\n",
- " <td>NaN</td>\n",
- " <td>281</td>\n",
- " <td>277</td>\n",
- " <td>300</td>\n",
- " <td>299</td>\n",
- " <td>272</td>\n",
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- " <td>25</td>\n",
- " <td>NaN</td>\n",
- " <td>296</td>\n",
- " <td>265</td>\n",
- " <td>271</td>\n",
- " <td>252</td>\n",
- " <td>292</td>\n",
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- " <td>26</td>\n",
- " <td>NaN</td>\n",
- " <td>262</td>\n",
- " <td>271</td>\n",
- " <td>296</td>\n",
- " <td>291</td>\n",
- " <td>303</td>\n",
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- " <td>27</td>\n",
- " <td>NaN</td>\n",
- " <td>285</td>\n",
- " <td>266</td>\n",
- " <td>262</td>\n",
- " <td>286</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>28</td>\n",
- " <td>NaN</td>\n",
- " <td>256</td>\n",
- " <td>172</td>\n",
- " <td>253</td>\n",
- " <td>237</td>\n",
- " <td>252</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>29</td>\n",
- " <td>NaN</td>\n",
- " <td>280</td>\n",
- " <td>298</td>\n",
- " <td>288</td>\n",
- " <td>281</td>\n",
- " <td>203</td>\n",
- " </tr>\n",
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- " <td>30</td>\n",
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- " <td>269</td>\n",
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- " <td>273</td>\n",
- " <td>278</td>\n",
- " <td>287</td>\n",
- " <td>264</td>\n",
- " <td>291</td>\n",
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- " <td>32</td>\n",
- " <td>NaN</td>\n",
- " <td>266</td>\n",
- " <td>270</td>\n",
- " <td>238</td>\n",
- " <td>270</td>\n",
- " <td>248</td>\n",
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- " <td>33</td>\n",
- " <td>NaN</td>\n",
- " <td>284</td>\n",
- " <td>283</td>\n",
- " <td>266</td>\n",
- " <td>260</td>\n",
- " <td>235</td>\n",
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- " <tr>\n",
- " <td>34</td>\n",
- " <td>NaN</td>\n",
- " <td>274</td>\n",
- " <td>280</td>\n",
- " <td>271</td>\n",
- " <td>301</td>\n",
- " <td>251</td>\n",
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- " <tr>\n",
- " <td>35</td>\n",
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- " <td>223</td>\n",
- " <td>251</td>\n",
- " <td>243</td>\n",
- " <td>264</td>\n",
- " <td>259</td>\n",
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- " <td>243</td>\n",
- " <td>265</td>\n",
- " <td>278</td>\n",
- " <td>275</td>\n",
- " <td>237</td>\n",
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- " <td>37</td>\n",
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- " <td>305</td>\n",
- " <td>285</td>\n",
- " <td>266</td>\n",
- " <td>294</td>\n",
- " <td>324</td>\n",
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- " <td>38</td>\n",
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- " <td>281</td>\n",
- " <td>247</td>\n",
- " <td>292</td>\n",
- " <td>272</td>\n",
- " <td>283</td>\n",
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- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>295</td>\n",
- " <td>298</td>\n",
- " <td>282</td>\n",
- " <td>275</td>\n",
- " <td>287</td>\n",
- " </tr>\n",
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- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>263</td>\n",
- " <td>324</td>\n",
- " <td>307</td>\n",
- " <td>308</td>\n",
- " <td>282</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>287</td>\n",
- " <td>318</td>\n",
- " <td>284</td>\n",
- " <td>288</td>\n",
- " <td>304</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>42</td>\n",
- " <td>NaN</td>\n",
- " <td>316</td>\n",
- " <td>282</td>\n",
- " <td>291</td>\n",
- " <td>296</td>\n",
- " <td>299</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>43</td>\n",
- " <td>NaN</td>\n",
- " <td>279</td>\n",
- " <td>263</td>\n",
- " <td>318</td>\n",
- " <td>272</td>\n",
- " <td>274</td>\n",
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- " <tr>\n",
- " <td>44</td>\n",
- " <td>NaN</td>\n",
- " <td>302</td>\n",
- " <td>252</td>\n",
- " <td>320</td>\n",
- " <td>279</td>\n",
- " <td>292</td>\n",
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- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>296</td>\n",
- " <td>293</td>\n",
- " <td>295</td>\n",
- " <td>290</td>\n",
- " <td>290</td>\n",
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- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>336</td>\n",
- " <td>275</td>\n",
- " <td>323</td>\n",
- " <td>341</td>\n",
- " <td>297</td>\n",
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- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>361</td>\n",
- " <td>274</td>\n",
- " <td>303</td>\n",
- " <td>329</td>\n",
- " <td>294</td>\n",
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- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>334</td>\n",
- " <td>297</td>\n",
- " <td>355</td>\n",
- " <td>303</td>\n",
- " <td>279</td>\n",
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- " <tr>\n",
- " <td>49</td>\n",
- " <td>NaN</td>\n",
- " <td>351</td>\n",
- " <td>324</td>\n",
- " <td>324</td>\n",
- " <td>322</td>\n",
- " <td>294</td>\n",
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- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>353</td>\n",
- " <td>316</td>\n",
- " <td>372</td>\n",
- " <td>324</td>\n",
- " <td>343</td>\n",
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- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>363</td>\n",
- " <td>317</td>\n",
- " <td>354</td>\n",
- " <td>360</td>\n",
- " <td>301</td>\n",
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- " <td>52</td>\n",
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- " <td>194</td>\n",
- " <td>195</td>\n",
- " <td>249</td>\n",
- " <td>199</td>\n",
- " <td>232</td>\n",
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- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 353.0 365 447 416 424 319\n",
- "2 395.0 371 481 434 348 373\n",
- "3 411.0 332 470 397 372 383\n",
- "4 347.0 335 426 387 355 397\n",
- "5 323.0 296 433 371 314 374\n",
- "6 332.0 319 351 336 310 347\n",
- "7 306.0 342 364 337 217 328\n",
- "8 297.0 337 366 351 423 317\n",
- "9 347.0 310 314 352 298 401\n",
- "10 312.0 342 387 357 309 346\n",
- "11 324.0 343 359 251 292 323\n",
- "12 271.0 294 326 356 306 310\n",
- "13 287.0 307 319 314 280 323\n",
- "14 434.0 287 286 306 295 221\n",
- "15 435.0 301 350 270 292 294\n",
- "16 424.0 316 280 245 293 327\n",
- "17 470.0 272 282 327 306 316\n",
- "18 427.0 357 292 258 258 335\n",
- "19 NaN 288 230 302 318 256\n",
- "20 NaN 330 268 315 259 299\n",
- "21 NaN 308 268 328 280 290\n",
- "22 NaN 245 252 256 284 258\n",
- "23 NaN 279 276 292 275 340\n",
- "24 NaN 281 277 300 299 272\n",
- "25 NaN 296 265 271 252 292\n",
- "26 NaN 262 271 296 291 303\n",
- "27 NaN 285 266 262 286 300\n",
- "28 NaN 256 172 253 237 252\n",
- "29 NaN 280 298 288 281 203\n",
- "30 NaN 269 282 287 298 274\n",
- "31 NaN 273 278 287 264 291\n",
- "32 NaN 266 270 238 270 248\n",
- "33 NaN 284 283 266 260 235\n",
- "34 NaN 274 280 271 301 251\n",
- "35 NaN 223 251 243 264 259\n",
- "36 NaN 243 265 278 275 237\n",
- "37 NaN 305 285 266 294 324\n",
- "38 NaN 281 247 292 272 283\n",
- "39 NaN 295 298 282 275 287\n",
- "40 NaN 263 324 307 308 282\n",
- "41 NaN 287 318 284 288 304\n",
- "42 NaN 316 282 291 296 299\n",
- "43 NaN 279 263 318 272 274\n",
- "44 NaN 302 252 320 279 292\n",
- "45 NaN 296 293 295 290 290\n",
- "46 NaN 336 275 323 341 297\n",
- "47 NaN 361 274 303 329 294\n",
- "48 NaN 334 297 355 303 279\n",
- "49 NaN 351 324 324 322 294\n",
- "50 NaN 353 316 372 324 343\n",
- "51 NaN 363 317 354 360 301\n",
- "52 NaN 194 195 249 199 232"
- ]
- },
- "execution_count": 233,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_i"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 234,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <td>6</td>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510</td>\n",
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- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
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- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181</td>\n",
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- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
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- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027</td>\n",
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- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
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- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325</td>\n",
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- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575</td>\n",
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- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061</td>\n",
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- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023</td>\n",
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- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586</td>\n",
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- " <td>NaN</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138</td>\n",
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- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
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- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
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- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
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- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
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- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
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- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
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- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
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- " <td>10439.0</td>\n",
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- " <td>10091.0</td>\n",
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- " <td>10199.0</td>\n",
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- " <td>9226.0</td>\n",
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- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
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- " <td>NaN</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573</td>\n",
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- " <td>38</td>\n",
- " <td>NaN</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381</td>\n",
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- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826</td>\n",
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- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700</td>\n",
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- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108</td>\n",
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- " <tr>\n",
- " <td>42</td>\n",
- " <td>NaN</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799</td>\n",
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- " <td>43</td>\n",
- " <td>NaN</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966</td>\n",
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- " <td>44</td>\n",
- " <td>NaN</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026</td>\n",
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- " <tr>\n",
- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312</td>\n",
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- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338</td>\n",
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- " <tr>\n",
- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178</td>\n",
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- " <tr>\n",
- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>49</td>\n",
- " <td>NaN</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748</td>\n",
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- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713</td>\n",
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- " <tr>\n",
- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>13566.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>12136</td>\n",
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- " <tr>\n",
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- " <td>NaN</td>\n",
- " <td>8727.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9806</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751\n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318\n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738\n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712\n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560\n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730\n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510\n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071\n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181\n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007\n",
- "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475\n",
- "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027\n",
- "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987\n",
- "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325\n",
- "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575\n",
- "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061\n",
- "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023\n",
- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586\n",
- "19 NaN 10361.0 9821.0 12114.0 12002.0 10138\n",
- "20 NaN 11717.0 11386.0 11718.0 11222.0 11692\n",
- "21 NaN 11653.0 10974.0 11431.0 11013.0 11334\n",
- "22 NaN 9534.0 9397.0 9603.0 9192.0 9514\n",
- "23 NaN 11461.0 11259.0 11134.0 11171.0 11603\n",
- "24 NaN 10754.0 10535.0 10698.0 10673.0 10858\n",
- "25 NaN 10807.0 10514.0 10930.0 10611.0 10629\n",
- "26 NaN 10824.0 10529.0 10624.0 10526.0 10525\n",
- "27 NaN 10328.0 10565.0 10565.0 10412.0 10545\n",
- "28 NaN 10512.0 10467.0 10643.0 10647.0 10278\n",
- "29 NaN 10324.0 10353.0 10426.0 10672.0 10028\n",
- "30 NaN 10422.0 10356.0 10147.0 10612.0 10021\n",
- "31 NaN 10564.0 10408.0 10239.0 10433.0 9893\n",
- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153\n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352\n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354\n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239\n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092\n",
- "37 NaN 10892.0 10496.0 10692.0 10401.0 10573\n",
- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381\n",
- "39 NaN 10954.0 10463.0 11027.0 10278.0 10826\n",
- "40 NaN 11113.0 10869.0 11101.0 10671.0 10700\n",
- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108\n",
- "42 NaN 11625.0 11177.0 11389.0 11134.0 10799\n",
- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966\n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026\n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312\n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338\n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178\n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216\n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748\n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713\n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136\n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806"
- ]
- },
- "execution_count": 234,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 235,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th>total_2020</th>\n",
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- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
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- " <td>13060.0</td>\n",
- " <td>16738</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>13429.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>15712</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>13123.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14560</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>6</td>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>12300.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13071</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
- " <td>12334.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>12415.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>13007</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>11</td>\n",
- " <td>12499.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12475</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>12</td>\n",
- " <td>12112.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>13</td>\n",
- " <td>12507.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11987</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>14</td>\n",
- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>15</td>\n",
- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>16</td>\n",
- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>17</td>\n",
- " <td>24303.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>18</td>\n",
- " <td>20059.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>19</td>\n",
- " <td>NaN</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>20</td>\n",
- " <td>NaN</td>\n",
- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11692</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>21</td>\n",
- " <td>NaN</td>\n",
- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11334</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>22</td>\n",
- " <td>NaN</td>\n",
- " <td>9534.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9514</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>23</td>\n",
- " <td>NaN</td>\n",
- " <td>11461.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11603</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>24</td>\n",
- " <td>NaN</td>\n",
- " <td>10754.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10858</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>25</td>\n",
- " <td>NaN</td>\n",
- " <td>10807.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10629</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>26</td>\n",
- " <td>NaN</td>\n",
- " <td>10824.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10525</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>27</td>\n",
- " <td>NaN</td>\n",
- " <td>10328.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10545</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>28</td>\n",
- " <td>NaN</td>\n",
- " <td>10512.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10278</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>29</td>\n",
- " <td>NaN</td>\n",
- " <td>10324.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10028</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>30</td>\n",
- " <td>NaN</td>\n",
- " <td>10422.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10021</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>31</td>\n",
- " <td>NaN</td>\n",
- " <td>10564.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>9893</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>32</td>\n",
- " <td>NaN</td>\n",
- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10153</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>33</td>\n",
- " <td>NaN</td>\n",
- " <td>10405.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10352</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>34</td>\n",
- " <td>NaN</td>\n",
- " <td>10279.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10354</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>35</td>\n",
- " <td>NaN</td>\n",
- " <td>9478.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>10239</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>36</td>\n",
- " <td>NaN</td>\n",
- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>9092</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>37</td>\n",
- " <td>NaN</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>38</td>\n",
- " <td>NaN</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>39</td>\n",
- " <td>NaN</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>40</td>\n",
- " <td>NaN</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>41</td>\n",
- " <td>NaN</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>42</td>\n",
- " <td>NaN</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>43</td>\n",
- " <td>NaN</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>44</td>\n",
- " <td>NaN</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>45</td>\n",
- " <td>NaN</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>46</td>\n",
- " <td>NaN</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>47</td>\n",
- " <td>NaN</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>48</td>\n",
- " <td>NaN</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>49</td>\n",
- " <td>NaN</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>50</td>\n",
- " <td>NaN</td>\n",
- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>51</td>\n",
- " <td>NaN</td>\n",
- " <td>13566.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>12136</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>52</td>\n",
- " <td>NaN</td>\n",
- " <td>8727.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9806</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015 \\\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751 \n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318 \n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738 \n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712 \n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560 \n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730 \n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510 \n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071 \n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181 \n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007 \n",
- "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475 \n",
- "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027 \n",
- "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987 \n",
- "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325 \n",
- "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575 \n",
- "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061 \n",
- "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023 \n",
- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586 \n",
- "19 NaN 10361.0 9821.0 12114.0 12002.0 10138 \n",
- "20 NaN 11717.0 11386.0 11718.0 11222.0 11692 \n",
- "21 NaN 11653.0 10974.0 11431.0 11013.0 11334 \n",
- "22 NaN 9534.0 9397.0 9603.0 9192.0 9514 \n",
- "23 NaN 11461.0 11259.0 11134.0 11171.0 11603 \n",
- "24 NaN 10754.0 10535.0 10698.0 10673.0 10858 \n",
- "25 NaN 10807.0 10514.0 10930.0 10611.0 10629 \n",
- "26 NaN 10824.0 10529.0 10624.0 10526.0 10525 \n",
- "27 NaN 10328.0 10565.0 10565.0 10412.0 10545 \n",
- "28 NaN 10512.0 10467.0 10643.0 10647.0 10278 \n",
- "29 NaN 10324.0 10353.0 10426.0 10672.0 10028 \n",
- "30 NaN 10422.0 10356.0 10147.0 10612.0 10021 \n",
- "31 NaN 10564.0 10408.0 10239.0 10433.0 9893 \n",
- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153 \n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352 \n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354 \n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239 \n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092 \n",
- "37 NaN 10892.0 10496.0 10692.0 10401.0 10573 \n",
- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381 \n",
- "39 NaN 10954.0 10463.0 11027.0 10278.0 10826 \n",
- "40 NaN 11113.0 10869.0 11101.0 10671.0 10700 \n",
- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108 \n",
- "42 NaN 11625.0 11177.0 11389.0 11134.0 10799 \n",
- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966 \n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026 \n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312 \n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338 \n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178 \n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216 \n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748 \n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713 \n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136 \n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806 \n",
- "\n",
- " previous_mean \n",
- "1 13870.2 \n",
- "2 15783.4 \n",
- "3 14985.8 \n",
- "4 14457.2 \n",
- "5 13841.0 \n",
- "6 13513.0 \n",
- "7 13202.0 \n",
- "8 13149.8 \n",
- "9 12680.4 \n",
- "10 13067.0 \n",
- "11 12687.6 \n",
- "12 12007.4 \n",
- "13 11549.6 \n",
- "14 11681.4 \n",
- "15 11919.4 \n",
- "16 11850.6 \n",
- "17 11844.4 \n",
- "18 11318.4 \n",
- "19 10887.2 \n",
- "20 11547.0 \n",
- "21 11281.0 \n",
- "22 9448.0 \n",
- "23 11325.6 \n",
- "24 10703.6 \n",
- "25 10698.2 \n",
- "26 10605.6 \n",
- "27 10483.0 \n",
- "28 10509.4 \n",
- "29 10360.6 \n",
- "30 10311.6 \n",
- "31 10307.4 \n",
- "32 10363.6 \n",
- "33 10345.8 \n",
- "34 10433.4 \n",
- "35 9472.2 \n",
- "36 10430.4 \n",
- "37 10610.8 \n",
- "38 10545.8 \n",
- "39 10709.6 \n",
- "40 10890.8 \n",
- "41 11186.4 \n",
- "42 11224.8 \n",
- "43 11093.2 \n",
- "44 11257.6 \n",
- "45 11729.4 \n",
- "46 11803.6 \n",
- "47 11821.0 \n",
- "48 11802.0 \n",
- "49 12157.0 \n",
- "50 12328.8 \n",
- "51 13159.2 \n",
- "52 9231.2 "
- ]
- },
- "execution_count": 235,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines['previous_mean'] = deaths_headlines['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 236,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f98b3c23c50>"
- ]
- },
- "execution_count": 236,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines['total_2020 total_2019 total_2018 total_2017 total_2016 total_2015'.split()].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 237,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "Radar plot code taken f\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines))/float(len(deaths_headlines))*2.*np.pi),\n",
- " 14)\n",
- "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, all UK\")\n",
- "plt.savefig('deaths-radar.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 238,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "50994.8"
- ]
- },
- "execution_count": 238,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
projects / covid19.git / blobdiff