{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Incidence of chicken pox illness in France" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import isoweek\n", "import os\n", "import requests" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data on the incidence of chicken pox illness are available from the Web site of the [Réseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, and store them in case either the URL or the format ever change, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1990 and ending with a recent week, is available for download." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "local_data_file_name = \"incidence-PAY-7.csv\"\n", "if not os.path.isfile(local_data_file_name) or os.path.getsize(local_data_file_name) == 0:\n", " with open(local_data_file_name, 'wb') as local_data_file:\n", " data_url = f\"http://www.sentiweb.fr/datasets/{local_data_file_name}\"\n", " r = requests.get(data_url)\n", " local_data_file.write(r.content)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is the documentation of the data from [the download site](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n", "\n", "| Column name | Description |\n", "|--------------|---------------------------------------------------------------------------------------------------------------------------|\n", "| `week` | ISO8601 Yearweek number as numeric (year times 100 + week nubmer) |\n", "| `indicator` | Unique identifier of the indicator, see metadata document https://www.sentiweb.fr/meta.json |\n", "| `inc` | Estimated incidence value for the time step, in the geographic level |\n", "| `inc_low` | Lower bound of the estimated incidence 95% Confidence Interval |\n", "| `inc_up` | Upper bound of the estimated incidence 95% Confidence Interval |\n", "| `inc100` | Estimated rate incidence per 100,000 inhabitants |\n", "| `inc100_low` | Lower bound of the estimated incidence 95% Confidence Interval |\n", "| `inc100_up` | Upper bound of the estimated rate incidence 95% Confidence Interval |\n", "| `geo_insee` | Identifier of the geographic area, from INSEE https://www.insee.fr |\n", "| `geo_name` | Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading |\n", "\n", "The first line of the CSV file is a comment, which we ignore with `skiprows=1`." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020211774750290965917410FRFrance
120211674780289166697410FRFrance
2202115711215762714803171222FRFrance
3202114711197799414400171222FRFrance
420211379714628913139151020FRFrance
5202112711520841514625171222FRFrance
620211179386667812094141018FRFrance
720211079056645211660141018FRFrance
8202109710988793814038171222FRFrance
9202108711281836114201171321FRFrance
102021077135611031516807211626FRFrance
11202106713401981016992201525FRFrance
12202105712210898815432181323FRFrance
13202104712026882615226181323FRFrance
142021037891363751145113917FRFrance
152021027779554301016012816FRFrance
16202101710525775013300161220FRFrance
17202053711978840615550181323FRFrance
18202052712012828515739181224FRFrance
19202051710564757413554161121FRFrance
20202050770634744938211715FRFrance
2120204975026314569078511FRFrance
22202048766834312905410614FRFrance
2320204774999296370358511FRFrance
242020467375219635541639FRFrance
252020457369620165376639FRFrance
2620204474391237564077410FRFrance
2720204374376250562477410FRFrance
282020427400019796021639FRFrance
292020417396120995823639FRFrance
.................................
15571991267176081130423912312042FRFrance
15581991257161691070021638281838FRFrance
15591991247161711007122271281739FRFrance
1560199123711947767116223211329FRFrance
1561199122715452995320951271737FRFrance
1562199121714903897520831261636FRFrance
15631991207190531274225364342345FRFrance
15641991197167391124622232291939FRFrance
15651991187213851388228888382551FRFrance
1566199117713462887718047241632FRFrance
15671991167148571006819646261834FRFrance
1568199115713975978118169251832FRFrance
1569199114712265768416846221430FRFrance
157019911379567604113093171123FRFrance
1571199112710864733114397191325FRFrance
15721991117155741118419964271935FRFrance
15731991107166431137221914292038FRFrance
1574199109713741878018702241533FRFrance
1575199108713289881317765231531FRFrance
1576199107712337807716597221529FRFrance
1577199106710877701314741191226FRFrance
1578199105710442654414340181125FRFrance
15791991047791345631126314820FRFrance
15801991037153871048420290271836FRFrance
15811991027162771104621508292038FRFrance
15821991017155651027120859271836FRFrance
15831990527193751329525455342345FRFrance
15841990517190801380724353342543FRFrance
1585199050711079666015498201228FRFrance
15861990497114302610205FRFrance
\n", "

1587 rows × 10 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", "0 202117 7 4750 2909 6591 7 4 \n", "1 202116 7 4780 2891 6669 7 4 \n", "2 202115 7 11215 7627 14803 17 12 \n", "3 202114 7 11197 7994 14400 17 12 \n", "4 202113 7 9714 6289 13139 15 10 \n", "5 202112 7 11520 8415 14625 17 12 \n", "6 202111 7 9386 6678 12094 14 10 \n", "7 202110 7 9056 6452 11660 14 10 \n", "8 202109 7 10988 7938 14038 17 12 \n", "9 202108 7 11281 8361 14201 17 13 \n", "10 202107 7 13561 10315 16807 21 16 \n", "11 202106 7 13401 9810 16992 20 15 \n", "12 202105 7 12210 8988 15432 18 13 \n", "13 202104 7 12026 8826 15226 18 13 \n", "14 202103 7 8913 6375 11451 13 9 \n", "15 202102 7 7795 5430 10160 12 8 \n", "16 202101 7 10525 7750 13300 16 12 \n", "17 202053 7 11978 8406 15550 18 13 \n", "18 202052 7 12012 8285 15739 18 12 \n", "19 202051 7 10564 7574 13554 16 11 \n", "20 202050 7 7063 4744 9382 11 7 \n", "21 202049 7 5026 3145 6907 8 5 \n", "22 202048 7 6683 4312 9054 10 6 \n", "23 202047 7 4999 2963 7035 8 5 \n", "24 202046 7 3752 1963 5541 6 3 \n", "25 202045 7 3696 2016 5376 6 3 \n", "26 202044 7 4391 2375 6407 7 4 \n", "27 202043 7 4376 2505 6247 7 4 \n", "28 202042 7 4000 1979 6021 6 3 \n", "29 202041 7 3961 2099 5823 6 3 \n", "... ... ... ... ... ... ... ... \n", "1557 199126 7 17608 11304 23912 31 20 \n", "1558 199125 7 16169 10700 21638 28 18 \n", "1559 199124 7 16171 10071 22271 28 17 \n", "1560 199123 7 11947 7671 16223 21 13 \n", "1561 199122 7 15452 9953 20951 27 17 \n", "1562 199121 7 14903 8975 20831 26 16 \n", "1563 199120 7 19053 12742 25364 34 23 \n", "1564 199119 7 16739 11246 22232 29 19 \n", "1565 199118 7 21385 13882 28888 38 25 \n", "1566 199117 7 13462 8877 18047 24 16 \n", "1567 199116 7 14857 10068 19646 26 18 \n", "1568 199115 7 13975 9781 18169 25 18 \n", "1569 199114 7 12265 7684 16846 22 14 \n", "1570 199113 7 9567 6041 13093 17 11 \n", "1571 199112 7 10864 7331 14397 19 13 \n", "1572 199111 7 15574 11184 19964 27 19 \n", "1573 199110 7 16643 11372 21914 29 20 \n", "1574 199109 7 13741 8780 18702 24 15 \n", "1575 199108 7 13289 8813 17765 23 15 \n", "1576 199107 7 12337 8077 16597 22 15 \n", "1577 199106 7 10877 7013 14741 19 12 \n", "1578 199105 7 10442 6544 14340 18 11 \n", "1579 199104 7 7913 4563 11263 14 8 \n", "1580 199103 7 15387 10484 20290 27 18 \n", "1581 199102 7 16277 11046 21508 29 20 \n", "1582 199101 7 15565 10271 20859 27 18 \n", "1583 199052 7 19375 13295 25455 34 23 \n", "1584 199051 7 19080 13807 24353 34 25 \n", "1585 199050 7 11079 6660 15498 20 12 \n", "1586 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name \n", "0 10 FR France \n", "1 10 FR France \n", "2 22 FR France \n", "3 22 FR France \n", "4 20 FR France \n", "5 22 FR France \n", "6 18 FR France \n", "7 18 FR France \n", "8 22 FR France \n", "9 21 FR France \n", "10 26 FR France \n", "11 25 FR France \n", "12 23 FR France \n", "13 23 FR France \n", "14 17 FR France \n", "15 16 FR France \n", "16 20 FR France \n", "17 23 FR France \n", "18 24 FR France \n", "19 21 FR France \n", "20 15 FR France \n", "21 11 FR France \n", "22 14 FR France \n", "23 11 FR France \n", "24 9 FR France \n", "25 9 FR France \n", "26 10 FR France \n", "27 10 FR France \n", "28 9 FR France \n", "29 9 FR France \n", "... ... ... ... \n", "1557 42 FR France \n", "1558 38 FR France \n", "1559 39 FR France \n", "1560 29 FR France \n", "1561 37 FR France \n", "1562 36 FR France \n", "1563 45 FR France \n", "1564 39 FR France \n", "1565 51 FR France \n", "1566 32 FR France \n", "1567 34 FR France \n", "1568 32 FR France \n", "1569 30 FR France \n", "1570 23 FR France \n", "1571 25 FR France \n", "1572 35 FR France \n", "1573 38 FR France \n", "1574 33 FR France \n", "1575 31 FR France \n", "1576 29 FR France \n", "1577 26 FR France \n", "1578 25 FR France \n", "1579 20 FR France \n", "1580 36 FR France \n", "1581 38 FR France \n", "1582 36 FR France \n", "1583 45 FR France \n", "1584 43 FR France \n", "1585 28 FR France \n", "1586 5 FR France \n", "\n", "[1587 rows x 10 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = pd.read_csv(local_data_file_name, skiprows=1)\n", "data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Are there missing data points? No." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
\n", "
" ], "text/plain": [ "Empty DataFrame\n", "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n", "Index: []" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data[data.isnull().any(axis=1)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our dataset uses an uncommon encoding; the week number is attached\n", "to the year number, leaving the impression of a six-digit integer.\n", "That is how Pandas interprets it.\n", "\n", "A second problem is that Pandas does not know about week numbers.\n", "It needs to be given the dates of the beginning and end of the week.\n", "We use the library `isoweek` for that.\n", "\n", "Since the conversion is a bit lengthy, we write a small Python \n", "function for doing it. Then we apply it to all points in our dataset. \n", "The results go into a new column 'period'." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def convert_week(year_and_week_int):\n", " year_and_week_str = str(year_and_week_int)\n", " year = int(year_and_week_str[:4])\n", " week = int(year_and_week_str[4:])\n", " w = isoweek.Week(year, week)\n", " return pd.Period(w.day(0), 'W')\n", "\n", "data['period'] = [convert_week(yw) for yw in data['week']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are two more small changes to make.\n", "\n", "First, we define the observation periods as the new index of\n", "our dataset. That turns it into a time series, which will be\n", "convenient later on.\n", "\n", "Second, we sort the points chronologically." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We check the consistency of the data. Between the end of a period and\n", "the beginning of the next one, the difference should be zero, or very small.\n", "We tolerate an error of one second.\n", "\n", "Everything is fine." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", " delta = p2.to_timestamp() - p1.end_time\n", " if delta > pd.Timedelta('1s'):\n", " print(p1, p2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's plot the data" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data['inc'].plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Zooming on multiple time periods shows a clear trend: the number of cases is the lowest around the summer holydays of July-August, then it grows progressively throughout the year.\n", "We also notice anomalies around 2020 and 2021, with the number of cases being way lower and only a few after March 2020, which can be explained by the confinements due to the COVID pandemic." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data['inc'][0:200].plot()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data['inc'][-400:-200].plot()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data['inc'][-200:].plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Study of the annual incidence\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the bottoms of the epidemic happen around August, we define the reference period for the annual\n", "incidence from August 1st of year $N$ to August 1st of year $N+1$. We\n", "label this period as year $N+1$ because the peak is always located in\n", "year $N+1$. The very low incidence during the summer holydays ensures that the arbitrariness\n", "of the choice of reference period has no impact on our conclusions.\n", "\n", "Our task is a bit complicated by the fact that a year does not have an\n", "integer number of weeks. Therefore we modify our reference period a bit:\n", "instead of August 1st, we use the first day of the week containing August 1st.\n", "\n", "A final detail: the dataset starts in December 1990, the first peak is thus\n", "incomplete, We start the analysis with the first full peak." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", " for y in range(1991,\n", " sorted_data.index[-1].year)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Starting from this list of weeks that contain August 1st, we obtain intervals of approximately one year as the periods between two adjacent weeks in this list. We compute the sums of weekly incidences for all these periods.\n", "\n", "We also check that our periods contain between 51 and 52 weeks, as a safeguard against potential mistakes in our code." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "year = []\n", "yearly_incidence = []\n", "for week1, week2 in zip(first_august_week[:-1],\n", " first_august_week[1:]):\n", " one_year = sorted_data['inc'][week1:week2-1]\n", " assert abs(len(one_year)-52) < 2\n", " yearly_incidence.append(one_year.sum())\n", " year.append(week2.year)\n", "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And here are the annual incidences:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAD8CAYAAACLrvgBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAG2dJREFUeJzt3X+QVWV+5/H3B9oBNeIAgssPFVMSN4AVHLrArNldHTPAbFLCbHTSGaNdCVtMDEkm2a1SSNxiVqla3dpaE9bSlRozoo4/KDKWbEbG6cFYcXdZoBk1DDqEnpVBBsbuSRPF2ZKdxu/+cZ6W2z1N97nd98e5tz+vqlv33G+f59zzcJr+3vP8uooIzMzM8phQ7xMwM7PG4aRhZma5OWmYmVluThpmZpabk4aZmeXmpGFmZrk5aZiZWW5OGmZmlpuThpmZ5dZS7xOotEsuuSTmzZtX79MwM2so+/fv/3FEzBhpv6ZLGvPmzaOzs7Pep2Fm1lAk/SDPfm6eMjOz3Jw0zMwsNycNMzPLzUnDzMxyc9IwM7PcnDTM7Gd0v/8hn390N92nPqz3qVjBOGmY2c/YvOsw+470svnbh+t9KlYwTTdPw8xG7+p7dnK676OPXz+15yhP7TnKpJYJHNr02TqemRWF7zTM7GOv3nUjNy+ezeTzsj8Nk8+bwKrFs3n17hvrfGZWFE4aZvaxmVMmc9GkFk73fcSklgmc7vuIiya1MPOiyfU+NSsIN0+Z2QA//uA0ty27gi8svZyn9x6lx53hVkIRUe9zqKjW1tbw2lNmZuWRtD8iWkfaz81TZmaWm5OG2TjhuRdWCU4aJfyfypqZ515YJbgjvETpf6pNn7um3qdjVhGee2GV5I5wfvY/VT//p7Jm0P3+h2x68S2+dfBHfPjTj5h83gRWLPwn/Nmv/aKH0trH3BFeBk9osmbmuRdWSW6ewv+prPl57oVVipNG4v9U1swevf1sq8Om1YvqeCbW6HL1aUj6E+DfAAEcAH4HuAB4DpgHHAE+HxEn0/4bgDXAGeCPIuKlFF8CPA6cD7wIfCkiQtIk4AlgCfAPwG9GxJFUph24J53KpojYOty5enKfmVn5KtanIWkO8EdAa0QsAiYCbcB6YFdEzAd2pddIWpB+vhBYCTwsaWI63CPAWmB+eqxM8TXAyYi4CngQeCAdaxqwEVgGLAU2Spo6Yu3NzKwq8naEtwDnS2ohu8M4DqwC+j/1bwVWp+1VwLMRcToi3ga6gKWSZgFTImJ3ZLc3Twwq03+s7cBNkgSsADoiojfdxXRwNtGYmVmNjZg0IuKHwH8GjgIngPci4lvApRFxIu1zApiZiswB3ik5xLEUm5O2B8cHlImIPuA9YPowxzIzszrI0zw1lexO4EpgNnChpN8ersgQsRgmPtoypee4VlKnpM6enp5hTs3MzMYiT/PUrwJvR0RPRPwU+Drwz4B3U5MT6bk77X8MuKyk/Fyy5qxjaXtwfECZ1AR2MdA7zLEGiIgtEdEaEa0zZszIUSWrBC+7Yjb+5EkaR4HrJF2Q+hluAt4CdgDtaZ924IW0vQNokzRJ0pVkHd57UxPWKUnXpePcMahM/7FuAV5O/R4vAcslTU13PMtTzArAaxmZjT8jztOIiD2StgPfAfqA14AtwM8B2yStIUsst6b9D0raBryZ9l8XEWfS4e7k7JDbnekB8BjwpKQusjuMtnSsXkn3AfvSfvdGRO+Yamxj5rWMbLzofv9D/uCZ13joC9d6sm/itaesbF7LyMaLe54/wNf2HuW2pZc3/SKmeedpeEa4lc3Lrliz8930uXnBQhuV/mVXnv/967lt2RX0fHC63qc0LHfaWzm8iOm5+U7DRqXR1jLyd6VYOXw3fW5OGtbU3Mxgo+VFTIfmjnBrau60N8vHX8JkhpsZzCrNzVPW9NzMYFY5bp4yMzM3T5mZWeU5aZg1OM9BsVpy0jBrcF440mrJHeFmDcpzUKwefKdhNkijNPd4qQurBycNs0EapbnHc1CsHtw8ZZY0YnOP56BYrXmehlniJUdsPPM8DbMyubnHbGRunjIr4eYes+G5ecrMzNw8ZWZmleekYWZmuTlpmFkhNcoky/HGScPMCqlRJlmONyMmDUlXS3q95PG+pD+WNE1Sh6TD6XlqSZkNkrokHZK0oiS+RNKB9LPNkpTikyQ9l+J7JM0rKdOe3uOwpPbKVt+smMbzp+yr79nJvPXf4Kk9R4nIJlnOW/8Nrr5nZ71PzciRNCLiUEQsjojFwBLg/wLPA+uBXRExH9iVXiNpAdAGLARWAg9LmpgO9wiwFpifHitTfA1wMiKuAh4EHkjHmgZsBJYBS4GNpcnJrFmN50/ZXlOr2Mqdp3ET8P2I+IGkVcANKb4VeAW4G1gFPBsRp4G3JXUBSyUdAaZExG4ASU8Aq4GdqcyX07G2Aw+lu5AVQEdE9KYyHWSJ5pmya2rWABpxKZNK8yTLYiu3T6ONs3+wL42IEwDpeWaKzwHeKSlzLMXmpO3B8QFlIqIPeA+YPsyxzJqSP2Vn+idZPv/713Pbsivo+eB0vU/Jktx3GpI+AdwMbBhp1yFiMUx8tGVKz20tWbMXl19++QinZ1Zc/pSdefT2s3PMNq1eVMczscHKudP4LPCdiHg3vX5X0iyA9Nyd4seAy0rKzQWOp/jcIeIDykhqAS4Geoc51gARsSUiWiOidcaMGWVUyax4/CnbiqycpPFbDOxL2AH0j2ZqB14oibelEVFXknV4701NWKckXZf6K+4YVKb/WLcAL0e2vslLwHJJU1MH+PIUaxjjeRSMjc6jt7eyafUiFsyewqbViwZ86jart1xJQ9IFwGeAr5eE7wc+I+lw+tn9ABFxENgGvAl8E1gXEWdSmTuBrwBdwPfJOsEBHgOmp07zf0saiZU6wO8D9qXHvf2d4o2iCKNgnLjMrFK8YGGVDB4F068eo2Duef4AX9t7lNuWXs6mz11T0/c2s8aQd8FCJ40qKcIX+hQpcZlVU/f7H/IHz7zGQ1+4dtwNGqgUr3JbZ0UYBePhmzZeFKEZeLzwlzBVUb2/0KcIicusmjwZsvacNKqoCGPN6524zKrp1btuPGczsFWHk0aTKzdxuW3YGonvpmvPfRo2gNuGq8dDn6vDkyFry6OnDPBIq9Eq587MQ5+tyDx6qsqa7VNjUUZaNdq/a547M38/hDUTJ41RqkYzTj3/YBalbbhRmsfKSQRFSchmleCO8DJVc4hf6R/MejRf1HOkVaMNnSxn1E5REnK1ePDE+OKkUaZqDPEryh/Meg4RbrShk+UmgmYe+lzvDztWW04aZarGp8ZG+4NZDY34abycRFCEOTuVVpQPO1ZbThqjUOlPjY34B7MaGu3TeDMmgnL4w8745KQxCtX4Y9FofzCrYbz/EW40/rAzPjlpFIT/YFoj8oed8ceT+8zMzJP7zMys8pw0zKxmGm3Gv/0sJw0zq5lGmfFv5+aOcDOruiLN6fAM9rHxnYaZVV2R1t/y3c7Y+E7DzKquCHM6inS308h8p2E14Q5Qq/eXJRXpbqeR5Uoakj4pabuk70l6S9IvS5omqUPS4fQ8tWT/DZK6JB2StKIkvkTSgfSzzZKU4pMkPZfieyTNKynTnt7jsKT2ylXdaslNAvbo7a1sWr2IBbOnsGn1ogETWmuhCHc7zSBv89RfAN+MiFskfQK4APhTYFdE3C9pPbAeuFvSAqANWAjMBr4t6Rci4gzwCLAW+N/Ai8BKYCewBjgZEVdJagMeAH5T0jRgI9AKBLBf0o6IOFmR2lvVuUnAisQz2MduxBnhkqYAbwA/HyU7SzoE3BARJyTNAl6JiKslbQCIiP+Y9nsJ+DJwBPibiPinKf5bqfwX+/eJiN2SWoAfATPIks8NEfHFVObR9D7PnOt8PSO8WLrf//Cci9r5E55ZcVRyRvjPAz3AVyW9Jukrki4ELo2IEwDpeWbafw7wTkn5Yyk2J20Pjg8oExF9wHvA9GGOZQ3CTQJmzSVP0mgBPgU8EhHXAj8ha4o6Fw0Ri2Hioy1z9g2ltZI6JXX29PQMc2pWD/XuADWzysnTp3EMOBYRe9Lr7WRJ411Js0qap7pL9r+spPxc4HiKzx0iXlrmWGqeuhjoTfEbBpV5ZfAJRsQWYAtkzVM56mQ15BV8zUaniBMRR7zTiIgfAe9IujqFbgLeBHYA/aOZ2oEX0vYOoC2NiLoSmA/sTU1YpyRdl0ZN3TGoTP+xbgFeTv0nLwHLJU1No7OWp5iZWdMr4qjDvKOn/hD4Who59X+A3yFLONskrQGOArcCRMRBSdvIEksfsC6NnAK4E3gcOJ9s1NTOFH8MeFJSF9kdRls6Vq+k+4B9ab97I6J3lHU1M2sIRR516O/TMDMrmHqMOvT3aZiZNagijzr02lNmZgVU1ImIbp4yMzM3T5mZWeU5aZiZWW5OGmZmYzSelv530mhQ4+mX1KzoijgJr1o8eqpBlf6SbvrcNfU+HbNxqciT8KrFo6cazOBf0n7N/EtqVlTNtPS/R081KX9lpVlxFHkSXrU4aTSY8fhLalZk5S793+j9ke7TaEBFnSlqNh6Vu/R/o/dHuk/DzKwGit4f6T4NM7MCaZb+SCcNM7MaaJb+SPdpmJnVSDP0R7pPw8zM3KdhZmaV56RhZma5OWmYmVluThpmZpabk4aZmeXmpGFmZrnlShqSjkg6IOl1SZ0pNk1Sh6TD6Xlqyf4bJHVJOiRpRUl8STpOl6TNkpTikyQ9l+J7JM0rKdOe3uOwpPZKVdwaX6Mv/GbWiMq507gxIhaXjONdD+yKiPnArvQaSQuANmAhsBJ4WNLEVOYRYC0wPz1Wpvga4GREXAU8CDyQjjUN2AgsA5YCG0uTk41v4+nb0syKYiwzwlcBN6TtrcArwN0p/mxEnAbeltQFLJV0BJgSEbsBJD0BrAZ2pjJfTsfaDjyU7kJWAB0R0ZvKdJAlmmfGcN7W4Mbjt6WZFUXeO40AviVpv6S1KXZpRJwASM8zU3wO8E5J2WMpNidtD44PKBMRfcB7wPRhjjWApLWSOiV19vT05KySNapmWfjNrBHlvdO4PiKOS5oJdEj63jD7aohYDBMfbZmzgYgtwBbIlhEZ5tysCTTLwm9mjSjXnUZEHE/P3cDzZP0L70qaBZCeu9Pux4DLSorPBY6n+Nwh4gPKSGoBLgZ6hzmWjXPlfluamVXGiAsWSroQmBARp9J2B3AvcBPwDxFxv6T1wLSIuEvSQuBpssQym6yTfH5EnJG0D/hDYA/wIvBfI+JFSeuAayLi9yS1Af86Ij6fOsL3A59Kp/MdYEl/H8dQvGChmVn58i5YmKd56lLg+TQ6tgV4OiK+mRLANklrgKPArQARcVDSNuBNoA9YFxFn0rHuBB4HzifrAN+Z4o8BT6ZO816y0VdERK+k+4B9ab97h0sYZmZWXV4a3czMvDS6mZlVnpOGmZnl5qRhZma5OWmYmVluThpmZpabk4aZmeXmpGFmZrk5aZiZWW5OGmZmlpuThpmZ5eakYWZmuTlpmJlZbk4aZmaWm5OGmZnl5qRhZma5OWmYmVluThpmZpabk4aZmeXmpGFmZrk5aZiZWW5OGmZmlpuThpmZ5eakYWZmueVOGpImSnpN0l+n19MkdUg6nJ6nluy7QVKXpEOSVpTEl0g6kH62WZJSfJKk51J8j6R5JWXa03scltReiUqbmdnolHOn8SXgrZLX64FdETEf2JVeI2kB0AYsBFYCD0uamMo8AqwF5qfHyhRfA5yMiKuAB4EH0rGmARuBZcBSYGNpcjIzs9rKlTQkzQV+DfhKSXgVsDVtbwVWl8SfjYjTEfE20AUslTQLmBIRuyMigCcGlek/1nbgpnQXsgLoiIjeiDgJdHA20ZiZWY3lvdP4c+Au4KOS2KURcQIgPc9M8TnAOyX7HUuxOWl7cHxAmYjoA94Dpg9zrAEkrZXUKamzp6cnZ5XMzKxcIyYNSb8OdEfE/pzH1BCxGCY+2jJnAxFbIqI1IlpnzJiR8zTNzKxcee40rgdulnQEeBb4tKSngHdTkxPpuTvtfwy4rKT8XOB4is8dIj6gjKQW4GKgd5hjmZlZHYyYNCJiQ0TMjYh5ZB3cL0fEbwM7gP7RTO3AC2l7B9CWRkRdSdbhvTc1YZ2SdF3qr7hjUJn+Y92S3iOAl4DlkqamDvDlKWZmZnXQMoay9wPbJK0BjgK3AkTEQUnbgDeBPmBdRJxJZe4EHgfOB3amB8BjwJOSusjuMNrSsXol3QfsS/vdGxG9YzhnMzMbA2Uf6JtHa2trdHZ21vs0zMwaiqT9EdE60n6eEW5mZrk5aZiZWW5OGmZmlpuThpmZ5eakYWZmuTlpmJlZbk4aZmaWm5OGmZnl5qRhZma5OWmYmVluThpmZpabk4aZmeXmpGFmZrk5aZiZWW5OGmZmlpuThpmZ5eakYWZmuTlpmJlZbk4aZmaWm5OGmZnl5qRhZma5OWmYmVluThpmZpbbiElD0mRJeyW9IemgpP+Q4tMkdUg6nJ6nlpTZIKlL0iFJK0riSyQdSD/bLEkpPknScym+R9K8kjLt6T0OS2qvZOXNzKw8ee40TgOfjohfAhYDKyVdB6wHdkXEfGBXeo2kBUAbsBBYCTwsaWI61iPAWmB+eqxM8TXAyYi4CngQeCAdaxqwEVgGLAU2liYnMzOrrRGTRmQ+SC/PS48AVgFbU3wrsDptrwKejYjTEfE20AUslTQLmBIRuyMigCcGlek/1nbgpnQXsgLoiIjeiDgJdHA20ZiZWY3l6tOQNFHS60A32R/xPcClEXECID3PTLvPAd4pKX4sxeak7cHxAWUiog94D5g+zLEGn99aSZ2SOnt6evJUyczMRiFX0oiIMxGxGJhLdtewaJjdNdQhhomPtkzp+W2JiNaIaJ0xY8Ywp2ZmZmNR1uipiPhH4BWyJqJ3U5MT6bk77XYMuKyk2FzgeIrPHSI+oIykFuBioHeYY5mZWR3kGT01Q9In0/b5wK8C3wN2AP2jmdqBF9L2DqAtjYi6kqzDe29qwjol6brUX3HHoDL9x7oFeDn1e7wELJc0NXWAL08xMzOrg5Yc+8wCtqYRUBOAbRHx15J2A9skrQGOArcCRMRBSduAN4E+YF1EnEnHuhN4HDgf2JkeAI8BT0rqIrvDaEvH6pV0H7Av7XdvRPSOpcJmZjZ6yj7QN4/W1tbo7Oys92mYmTUUSfsjonWk/Twj3MzMcnPSMDOz3Jw0zMwsNycNMzPLzUnDzMxyc9IwM7PcnDTMzCw3Jw0zM8vNScPMzHJz0jAzs9ycNMzMLDcnDTMzy81Jw8zMcnPSMDOz3Jw0zMyaQPf7H/L5R3fTferDqr6Pk4aZWRPYvOsw+470svnbh6v6Pnm+uc/MzArq6nt2crrvo49fP7XnKE/tOcqklgkc2vTZir+f7zTMzBrYq3fdyM2LZzP5vOzP+eTzJrBq8WxevfvGqryfk4aZWQObOWUyF01q4XTfR0xqmcDpvo+4aFILMy+aXJX3c/OUmVmD+/EHp7lt2RV8YenlPL33KD1V7AxXRFTt4PXQ2toanZ2d9T4NM7OGIml/RLSOtJ+bp8zMLDcnDTMzy23EpCHpMkl/I+ktSQclfSnFp0nqkHQ4PU8tKbNBUpekQ5JWlMSXSDqQfrZZklJ8kqTnUnyPpHklZdrTexyW1F7JypuZWXny3Gn0Af8uIn4RuA5YJ2kBsB7YFRHzgV3pNelnbcBCYCXwsKSJ6ViPAGuB+emxMsXXACcj4irgQeCBdKxpwEZgGbAU2FianMzMrLZGTBoRcSIivpO2TwFvAXOAVcDWtNtWYHXaXgU8GxGnI+JtoAtYKmkWMCUidkfW+/7EoDL9x9oO3JTuQlYAHRHRGxEngQ7OJhozM6uxsvo0UrPRtcAe4NKIOAFZYgFmpt3mAO+UFDuWYnPS9uD4gDIR0Qe8B0wf5liDz2utpE5JnT09PeVUyczMypB7noaknwP+CvjjiHg/dUcMuesQsRgmPtoyZwMRW4At6Tx7JP3gXCfXAC4Bflzvk6iSZq2b69V4mrVuY6nXFXl2ypU0JJ1HljC+FhFfT+F3Jc2KiBOp6ak7xY8Bl5UUnwscT/G5Q8RLyxyT1AJcDPSm+A2Dyrwy3LlGxIw8dSoqSZ15xko3omatm+vVeJq1brWoV57RUwIeA96KiP9S8qMdQP9opnbghZJ4WxoRdSVZh/fe1IR1StJ16Zh3DCrTf6xbgJdTv8dLwHJJU1MH+PIUMzOzOshzp3E9cDtwQNLrKfanwP3ANklrgKPArQARcVDSNuBNspFX6yLiTCp3J/A4cD6wMz0gS0pPSuoiu8NoS8fqlXQfsC/td29E9I6yrmZmNkZNt4xIo5O0NvXRNJ1mrZvr1XiatW61qJeThpmZ5eZlRMzMLDcnjRqQ9JeSuiV9tyT2S5J2p2VV/rukKSn+CUlfTfE3JN1QUuaVtDTL6+kxc4i3q5laLDFTDxWuV2GuWbn1kjQ97f+BpIcGHasw1yudTyXr1sjX7DOS9qdrs1/Sp0uOVZlrFhF+VPkB/AvgU8B3S2L7gH+Ztn8XuC9trwO+mrZnAvuBCen1K0BrvetTUodZwKfS9kXA3wMLgP8ErE/x9cADaXsB8AYwCbgS+D4wMf1sL/DLZHNzdgKfbZJ6FeaajaJeFwK/Avwe8NCgYxXmelWhbo18za4FZqftRcAPK33NfKdRAxHxt2SjwkpdDfxt2u4AfiNtLyBby4uI6Ab+ESjkePKozRIzNVepetX2rEdWbr0i4icR8T+AAd/oU7TrBZWrW9GMol6vRUT//LeDwGRl0x8qds2cNOrnu8DNaftWzk6IfANYJalF2TyXJQycLPnVdMv87+vdJFBK1Vtipq7GWK9+hbtmOet1LoW9XjDmuvVrhmv2G8BrEXGaCl4zJ436+V2yFYP3k912/r8U/0uyC9oJ/Dnwv8jmuwDcFhHXAP88PW6v6RmfgwYtMTPcrkPEci8XU2sVqBcU8JqVUa9zHmKIWN2vF1SkbtAE10zSQrLVwr/YHxpit1FdMyeNOomI70XE8ohYAjxD1g5ORPRFxJ9ExOKIWAV8EjicfvbD9HwKeJoCNIFomCVm0s/HusRMXVSoXoW7ZmXW61wKd72gYnVr+GsmaS7wPHBHRHw/hSt2zZw06qR/RIakCcA9wH9Lry+QdGHa/gzQFxFvpuaqS1L8PODXyZq46ibdtld7iZmaq1S9inbNRlGvIRXtekHl6tbo10zSJ4FvABsi4n/271zRa1aLEQDj/UF2J3EC+ClZxl8DfIlsJMTfky3J0j/Rch5wiKzD69vAFSl+IdlIqr8j6+D6C9IInTrW61fIbnH/Dng9Pf4V2bL2u8jukHYB00rK/BnZXdUhSkZvkHX2fzf97KH+f49GrlfRrtko63WEbBDHB+l3d0HRrlcl69bo14zsA+hPSvZ9HZhZyWvmGeFmZpabm6fMzCw3Jw0zM8vNScPMzHJz0jAzs9ycNMzMLDcnDTMzy81Jw8zMcnPSMDOz3P4/wVJIgfnAxC8AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "yearly_incidence.plot(style='*')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A sorted list makes it easier to find the highest values (at the end)." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2020 229363\n", "2002 502271\n", "2018 543281\n", "1996 553859\n", "2017 557449\n", "2019 584926\n", "2000 605096\n", "2015 613286\n", "2012 620315\n", "2011 645042\n", "1995 648598\n", "2001 650660\n", "1993 653058\n", "2005 654308\n", "2006 657482\n", "1998 660316\n", "2014 673458\n", "1997 679308\n", "1994 682920\n", "2007 701566\n", "2013 708874\n", "2004 736266\n", "2008 745701\n", "2003 770211\n", "2016 780645\n", "1999 784963\n", "1992 821558\n", "2009 822819\n", "2010 848236\n", "dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "yearly_incidence.sort_values()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, a histogram clearly singles out the year 2020 as an anomaly. The typical epidemic affects 1% of the population, but only a third of that number in 2020." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "yearly_incidence.hist(xrot=20)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }