{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preliminary study of early-2020 mortality data over Italy"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Prepared by [**J. Grazzini**](mailto:jacopo.grazzini@ec.europa.eu) in collaboration with [**F. Ricciato**](mailto:fabio.ricciato@ec.europa.eu) ([**Eurostat**](https://ec.europa.eu/eurostat), Methodology & Innnovation unit B.1)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook aims at reproducing the original study by F. Ricciato published on [CROS portal](https://ec.europa.eu/eurostat/cros/content/preliminary-view-2020-mortality-data-istat) on **April 16th, 2020**.\n",
"The study deals with early reports on the beginning of 2020 mortality in Italy and is entitled:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\"\u001b[1mA preliminary view at 2020 mortality data from ISTAT\u001b[0m\"\n"
]
}
],
"source": [
"COUNTRY = \"IT\"\n",
"YEAR = 2020\n",
"PROVIDER = \"ISTAT\"\n",
"print('\"\\033[1mA preliminary view at %s mortality data from %s\\033[0m\"' % (YEAR, PROVIDER))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**_update_** :\n",
"* The \"original\" dataset (referred to as *comune_giorno*) used in the study above (access date: 16/04/20) are no longer referenced (*i.e.*, \"visible\") on _ISTAT_ main page dedicated to death counts ([\"Decessi e cause di morte\"](https://www.istat.it/it/archivio/240401)). However these data are still available for download ([source](https://www.istat.it/it/files/2020/03/comune-giorno.zip), last access date: 8/05/20)\n",
"* The \"updated\" dataset (referred to as *comuni_giornaliero*) is obviously more complete and contains the last updates ([source](https://www.istat.it/it/files//2020/03/Dataset-decessi-comunali-giornalieri-e-tracciato-record.zip)). It comes together with other aggregated datasets (see webpage above). \n",
"* The current notebook will give you the possibility to (re)run the analysis on any of the datasets above, the updated dataset *comuni_giornaliero* being used by default. The use of the original dataset *comune_giorno* is considered for reproducibility purpose (see this [static version](https://github.com/gjacopo/morbstat/blob/master/docs/notebook_A_preliminary_view_at_2020_mortality_data_from_ISTAT.pdf)). **The selection of the adequate dataset is operated in this [cell](#dataset-choice)**.\n",
"* The ingestion of the datasets in the notebook is purely metadata driven. Once a dataset has been chosen, there is no need to change anything. Instead the metadata files provided together with this notebook will contain all the necessary information to process the data (see [metadata/](https://github.com/gjacopo/morbstat/blob/master/metadata) directory). This informs the addition of new fields (for instance, \"TIPO_COMUNE\") change of naming of some of the columns (for instance, from \"TOTALE_20\" to \"T_20\")."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**_disclaimer_** : \n",
"* The purpose of this notebook is mostly didactic.\n",
"* The data used when running this notebook are fetched directly fetched from the provider (*ISTAT*) website. While they are always the latest available/updated, they do no necessarily correspond to those used in the original study. \n",
"* The methodological approach adopted here is purely descriptive, it involves no statistical modelling. Note that the methodology is actually not discussed in this notebook, refer to the original publication to this aim. \n",
"* The notebook does not aim at performance either, still it is generic enough to be repurposed for different similar datasets as long as metadata are \"descriptive enough\".\n",
"\n",
"**Table of Contents**: \n",
"* [Setting and checking the environment first](#Setting)\n",
"* [Data ingestion](#Ingestion)\n",
"* [Data preparation](#Preparation)\n",
"* [Figure 1](#Figure1): Map of ANPR municipalities included in the data set.\n",
"* [Figure 2](#Figure2): Daily and cumulated deaths for all municipalities in the data set.\n",
"* [Figure 3](#Figure3): Age distribution of total deaths in the period 15-21 March.\n",
"* [Figure 4](#Figure4): Relative increment of 2020 over baseline in 15-21 March per age group.\n",
"* [Figure 5](#Figure5): Empirical cumulative distribution of excess deaths in 15-21 March 2020 per age group.\n",
"* [Figure 6](#Figure6): Daily and cumulated deaths of males aged 65+.\n",
"* [Figure 7](#Figure7): Total deaths in the period 1-21 March per individual municipalities.\n",
"* [Figures 8-12](#Figure8): Daily and cumulative deaths over individual cities.\n",
"* [Figure 13](#Figure13): Total deaths in the week 15-21 March by groups of municipalities within the same province.\n",
"* [Figure 14-16](#Figure14): Daily and cumulative deaths over individual provinces.\n",
"\n",
"*note: cells need to be run sequentially!*\n",
"\n",
"Concerning data extraction, while the latest available version of the original study is from April 16th, please note:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Last update/running of this notebook: \u001b[1m2020-05-08 10:26:52.948267\u001b[0m\n"
]
}
],
"source": [
"from datetime import datetime\n",
"print(\"Last update/running of this notebook: \\033[1m%s\\033[0m\" % datetime.today())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Setting and checking the environment first"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's run some setup necessary to import the dependency(ies) required to run the project... First, some generic packages, including a few to handle date/time data since we deal with timeseries:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import os, sys\n",
"import json\n",
"import time\n",
"from datetime import timedelta # and datetime above\n",
"import calendar"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the following, we will take care of setting the ready-to-run environment even when libraries/packages are missing. This will ensure you can always run this notebook, in particular on a remote platform (_e.g._, [`binder`](https://mybinder.org), [`Google colab`](https://colab.research.google.com/notebook),...). However, you should probably consider running this notebook in a virtual environment (`conda -n env` or `virtualenv`) so as to make these installs temporary and/or isolated.\n",
"\n",
"Essential for the running of the notebook, besides the basic [`numpy`](https://numpy.org) package, is the [`pandas`](https://pandas.pydata.org) package use for common data handling and processing:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"try:\n",
" import pandas as pd\n",
"except ImportError:\n",
" try:\n",
" !{sys.executable} -m pip install pandas\n",
" except:\n",
" raise IOError(\"!!! Sorry, you're doomed, you won't be able to run this notebook... !!!\")\n",
" else:\n",
" print(\"! Package pandas installed on-the-fly !\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# %%bash # testing google-colab for instance\n",
"# [[ ! -e /colabtools ]] && exit\n",
"# `which python` -m pip install pandas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that the [`geopandas`](https://geopandas.org) package is also used as soon as basic 'geoprocessing' (simple vector data ingestion and map representation) is involved:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" import geopandas as gpd\n",
"except ImportError:\n",
" try:\n",
" !{sys.executable} -m pip install geopandas\n",
" except:\n",
" print(\"! Package geopandas not installed !\")\n",
" else:\n",
" print(\"! Package geopandas installed on-the-fly !\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You will also need to import the [`pyeudatnat`](https://github.com/eurostat/pyEUDatNat) package that contains various useful functions/methods for metadata-based data ingestion: "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" import pyeudatnat\n",
"except ImportError:\n",
" try:\n",
" # import google.colab\n",
" !{sys.executable} -m pip install git+https://github.com/eurostat/pyeudatnat.git\n",
" # !{sys.executable} -m pip install pyeudatnat\n",
" except:\n",
" raise IOError(\"Sorry, you're doomed: package pyeudatnat not installed !\")\n",
" else:\n",
" print(\"! Package pyeudatnat installed on-the-fly !\")\n",
"else: \n",
" from pyeudatnat.base import datnatFactory\n",
" from pyeudatnat.io import Frame\n",
" from pyeudatnat.misc import Structure\n",
" from pyeudatnat.misc import Type, Datetime"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Last, we will use the [`matplotlib`](https://matplotlib.org) package to render the various illustrations of the original study:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" import matplotlib\n",
"except ImportError:\n",
" raise IOError(\"Guess what: you're doomed...\")\n",
"else:\n",
" import matplotlib.pyplot as mplt\n",
" import matplotlib.dates as mdates\n",
" from matplotlib.ticker import FuncFormatter, MaxNLocator, IndexLocator\n",
"finally:\n",
" _FIGSIZE_, _DPI_ = (7,4), 140 # just some default display size/resolution inside this notebook...\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data ingestion"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The ingestion of the data is entirely defined through metadata files. Namely, the `JSON` files in the [metadata/](https://github.com/gjacopo/morbstat/blob/master/metadata) directory contains all the information regarding source file location, format, fields, _etc_... is described in these files (see resources listed in the [\"Data resources\"](https://github.com/eurostat/losstat#Data) section):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"DATASET = {'original': \n",
" {'name':'comune_giorno', 'meta':'ITmetadata-original-comune_giorno.json'},\n",
" 'updated': \n",
" {'name':'comuni_giornaliero', 'meta':'ITmetadata-updated-comuni_giornaliero.json'}\n",
" }"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Following, **you can chose here the file you want to analyse:** \n",
"* **'original' to reproduce the results of Ricciato's study,**\n",
"* **'updated' to analyse the most recent data.**\n",
"\n",
"**Select the dataset of interest by modifying the value of the variable below:**"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[1mThe analysis will be run on the 'updated' dataset ('comuni_giornaliero'\u001b[0m)\n"
]
}
],
"source": [
"SELECTION = 'updated'\n",
"try:\n",
" assert SELECTION in DATASET.keys()\n",
"except:\n",
" raise IOError(\"You selected a file that is not recognised - must be any value in %s\" % list(DATASET.keys()))\n",
"else:\n",
" SOURCE, METADATA = DATASET[SELECTION]['name'], DATASET[SELECTION]['meta']\n",
" print(\"\\033[1mThe analysis will be run on the '%s' dataset ('%s'\\033[0m)\" % (SELECTION,SOURCE))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Proceed by downloading the metadata file. If it does not exist, we download this file from the `github` repository:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Content of the metadata file 'ITmetadata-updated-comuni_giornaliero.json':\n",
"\n"
]
},
{
"data": {
"text/plain": [
"{'country': {'code': 'IT', 'name': 'Italia'},\n",
" 'lang': {'code': 'it', 'name': 'italian'},\n",
" 'file': 'comuni_giornaliero.csv',\n",
" 'fmt': 'csv',\n",
" 'source': 'https://www.istat.it/it/files//2020/03/Dataset-decessi-comunali-giornalieri-e-tracciato-record.zip',\n",
" 'enc': 'latin1',\n",
" 'sep': ',',\n",
" 'datefmt': '%m%d',\n",
" 'index': {'reg_code': {'name': 'REG',\n",
" 'desc': 'Codice Istat della Regione di residenza.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'prov_code': {'name': 'PROV',\n",
" 'desc': 'Codice Istat della Provincia di residenza.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'region': {'name': 'NOME_REGIONE',\n",
" 'desc': 'Regione di residenza.',\n",
" 'type': 'str',\n",
" 'values': None},\n",
" 'province': {'name': 'NOME_PROVINCIA',\n",
" 'desc': 'Provincia di residenza.',\n",
" 'type': 'str',\n",
" 'values': None},\n",
" 'city': {'name': 'NOME_COMUNE',\n",
" 'desc': 'Comune di residenza.',\n",
" 'type': 'str',\n",
" 'values': None},\n",
" 'city_code': {'name': 'COD_PROVCOM',\n",
" 'desc': 'Comune di residenza (classificazione Istat al 01/01/2020)',\n",
" 'type': 'str',\n",
" 'values': None},\n",
" 'city_type': {'name': 'TIPO_COMUNE',\n",
" 'desc': 'Comune per tipo di diffusione (1=Dati fino al 15 aprile 2020; 2=Dati fino al 31 marzo 2020, 3=Dati assenti nel 2020)',\n",
" 'type': 'int',\n",
" 'values': [1, 2, 3]},\n",
" 'age': {'name': 'CL_ETA',\n",
" 'desc': 'Classe di età in anni compiuti al momento del decesso',\n",
" 'type': 'int',\n",
" 'values': {'0': '0',\n",
" '1': '1-4',\n",
" '2': '5-9',\n",
" '3': '10-14',\n",
" '4': '15-19',\n",
" '5': '20-24',\n",
" '6': '25-29',\n",
" '7': '30-34',\n",
" '8': '35-39',\n",
" '9': '40-44',\n",
" '10': '45-49',\n",
" '11': '50-54',\n",
" '12': '55-59',\n",
" '13': '60-64',\n",
" '14': '65-69',\n",
" '15': '70-74',\n",
" '16': '75-79',\n",
" '17': '80-84',\n",
" '18': '85-89',\n",
" '19': '90-94',\n",
" '20': '95-99',\n",
" '21': '100+'}},\n",
" 'date': {'name': 'GE',\n",
" 'desc': 'Giorno di decesso (formato variabile: MeseMeseGiornoGiorno).',\n",
" 'type': 'str',\n",
" 'values': None},\n",
" 'm_15': {'name': 'M_15',\n",
" 'desc': 'numero di decessi maschili nel 2015.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'm_16': {'name': 'M_16',\n",
" 'desc': 'numero di decessi maschili nel 2016.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'm_17': {'name': 'M_17',\n",
" 'desc': 'numero di decessi maschili nel 2017.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'm_18': {'name': 'M_18',\n",
" 'desc': 'numero di decessi maschili nel 2018.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'm_19': {'name': 'M_19',\n",
" 'desc': 'numero di decessi maschili nel 2019.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'm_20': {'name': 'M_20',\n",
" 'desc': 'numero di decessi maschili nel 2020.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_15': {'name': 'F_15',\n",
" 'desc': 'numero di decessi femminili nel 2015.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_16': {'name': 'F_16',\n",
" 'desc': 'numero di decessi femminili nel 2016.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_17': {'name': 'F_17',\n",
" 'desc': 'numero di decessi femminili nel 2017.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_18': {'name': 'F_18',\n",
" 'desc': 'numero di decessi femminili nel 2018.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_19': {'name': 'F_19',\n",
" 'desc': 'numero di decessi femminili nel 2019.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 'f_20': {'name': 'F_20',\n",
" 'desc': 'numero di decessi femminili nel 2020.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_15': {'name': 'T_15',\n",
" 'desc': 'numero di decessi totali nel 2015.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_16': {'name': 'T_16',\n",
" 'desc': 'numero di decessi totali nel 2016.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_17': {'name': 'T_17',\n",
" 'desc': 'numero di decessi totali nel 2017.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_18': {'name': 'T_18',\n",
" 'desc': 'numero di decessi totali nel 2018.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_19': {'name': 'T_19',\n",
" 'desc': 'numero di decessi totali nel 2019.',\n",
" 'type': 'int',\n",
" 'values': None},\n",
" 't_20': {'name': 'T_20',\n",
" 'desc': 'numero di decessi totali nel 2020.',\n",
" 'type': 'int',\n",
" 'values': None}},\n",
" 'nan': 'n.d.',\n",
" 'desc': 'Descrizione e tracciato record dati comunali giornalieri.docx'}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"THISDIR = !pwd\n",
"META = os.path.join(THISDIR[0], 'metadata/%s' % METADATA)\n",
"try:\n",
" assert os.path.exists(META)\n",
"except:\n",
" !if ! [ -d metadata ]; then mkdir metadata; fi\n",
" !wget -O $META https://raw.githubusercontent.com/gjacopo/morbstat/master/metadata/$METADATA\n",
"with open(META, 'r') as fp:\n",
" metadata = json.load(fp)\n",
"print(\"Content of the metadata file '%s':\\n\" % os.path.basename(META))\n",
"metadata"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using the `datnatFactory` method, simply define the data structure:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data source: https://www.istat.it/it/files//2020/03/Dataset-decessi-comunali-giornalieri-e-tracciato-record.zip - file: \u001b[94mcomuni_giornaliero.csv\u001b[0m\n",
"Example of data field - number of female deaths in 2016: \u001b[94m{'name': 'F_16', 'desc': 'numero di decessi femminili nel 2016.', 'type': 'int', 'values': None}\u001b[0m\n"
]
}
],
"source": [
"MortDatIT = datnatFactory(country = \"IT\")\n",
"dIT = MortDatIT(META)\n",
"print(\"Data source: %s - file: \\033[94m%s\\033[0m\" % (dIT.source, dIT.file))\n",
"print(\"Example of data field - number of female deaths in 2016: \\033[94m%s\\033[0m\" % dIT.meta['index']['f_16'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Actually, we already define some metadata variables that we will use in the remaining of this notebook (note that this info could be directly inferred when ingesting the data without setting it directly into the metadata file):"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Some basic metadata information: \n",
"- field types: \u001b[94m{'REG': dtype('int64'), 'PROV': dtype('int64'), 'NOME_REGIONE': dtype('\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
REG
\n",
"
PROV
\n",
"
NOME_REGIONE
\n",
"
NOME_PROVINCIA
\n",
"
NOME_COMUNE
\n",
"
COD_PROVCOM
\n",
"
TIPO_COMUNE
\n",
"
CL_ETA
\n",
"
GE
\n",
"
M_15
\n",
"
...
\n",
"
F_17
\n",
"
F_18
\n",
"
F_19
\n",
"
F_20
\n",
"
T_15
\n",
"
T_16
\n",
"
T_17
\n",
"
T_18
\n",
"
T_19
\n",
"
T_20
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
01
\n",
"
001
\n",
"
Piemonte
\n",
"
Torino
\n",
"
Agliè
\n",
"
001001
\n",
"
1
\n",
"
9
\n",
"
0228
\n",
"
0
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
\n",
"
\n",
"
1
\n",
"
01
\n",
"
001
\n",
"
Piemonte
\n",
"
Torino
\n",
"
Agliè
\n",
"
001001
\n",
"
1
\n",
"
10
\n",
"
0113
\n",
"
0
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
\n",
"
\n",
"
2
\n",
"
01
\n",
"
001
\n",
"
Piemonte
\n",
"
Torino
\n",
"
Agliè
\n",
"
001001
\n",
"
1
\n",
"
11
\n",
"
0305
\n",
"
0
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
0
\n",
"
\n",
"
\n",
"
3
\n",
"
01
\n",
"
001
\n",
"
Piemonte
\n",
"
Torino
\n",
"
Agliè
\n",
"
001001
\n",
"
1
\n",
"
12
\n",
"
0204
\n",
"
0
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
\n",
"
\n",
"
4
\n",
"
01
\n",
"
001
\n",
"
Piemonte
\n",
"
Torino
\n",
"
Agliè
\n",
"
001001
\n",
"
1
\n",
"
12
\n",
"
0302
\n",
"
0
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
\n",
" \n",
"
\n",
"
5 rows × 27 columns
\n",
""
],
"text/plain": [
" REG PROV NOME_REGIONE NOME_PROVINCIA NOME_COMUNE COD_PROVCOM TIPO_COMUNE \\\n",
"0 01 001 Piemonte Torino Agliè 001001 1 \n",
"1 01 001 Piemonte Torino Agliè 001001 1 \n",
"2 01 001 Piemonte Torino Agliè 001001 1 \n",
"3 01 001 Piemonte Torino Agliè 001001 1 \n",
"4 01 001 Piemonte Torino Agliè 001001 1 \n",
"\n",
" CL_ETA GE M_15 ... F_17 F_18 F_19 F_20 T_15 T_16 T_17 T_18 T_19 T_20 \n",
"0 9 0228 0 ... 0 0 0 0 0 0 0 0 1 0 \n",
"1 10 0113 0 ... 0 0 0 0 0 0 0 0 1 0 \n",
"2 11 0305 0 ... 0 0 0 0 0 0 0 1 0 0 \n",
"3 12 0204 0 ... 0 0 0 0 0 0 1 0 0 0 \n",
"4 12 0302 0 ... 0 0 0 0 0 0 0 0 0 1 \n",
"\n",
"[5 rows x 27 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What are the fields? It should be consistent with the `metadata` file we introduced earlier..."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fields of the data: \u001b[94m['REG', 'PROV', 'NOME_REGIONE', 'NOME_PROVINCIA', 'NOME_COMUNE', 'COD_PROVCOM', 'TIPO_COMUNE', 'CL_ETA', 'GE', 'M_15', 'M_16', 'M_17', 'M_18', 'M_19', 'M_20', 'F_15', 'F_16', 'F_17', 'F_18', 'F_19', 'F_20', 'T_15', 'T_16', 'T_17', 'T_18', 'T_19', 'T_20']\u001b[0m\n"
]
}
],
"source": [
"print(\"Fields of the data: \\033[94m%s\\033[0m\" % list(data.columns)) \n",
"try:\n",
" assert set(list(data.columns)) == set([v['name'] for v in metadata['index'].values()])\n",
"except:\n",
" print(\"Mismatch between metadata and actual columns in the dataset\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data preparation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's get rid of those records with no data, _i.e._ with `NAN` values (_e.g._ '9999' for this dataset) in the `T_20` column of total number of deaths in 2020 (_i.e._, data not yet collected):"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field of total deaths in 2020: \u001b[94mT_20\u001b[0m\n",
"- value of NAN mask: \u001b[94mn.d.\u001b[0m\n",
"Number of cleaned records: \u001b[1m666643\u001b[0m - Number of fields (unchanged...): \u001b[1m27\u001b[0m\n"
]
}
],
"source": [
"T_20 = dIT.meta.get('index')['t_20']['name']\n",
"print(\"- field of total deaths in 2020: \\033[94m%s\\033[0m\" % T_20)\n",
"print(\"- value of NAN mask: \\033[94m%s\\033[0m\" % NAN)\n",
"data.drop(data.loc[data[T_20]==NAN].index, inplace=True)\n",
"print(\"Number of cleaned records: \\033[1m%s\\033[0m - Number of fields (unchanged...): \\033[1m%s\\033[0m\" \n",
" % data.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At this stage, after having cleaned the data, we cast all the fields (columns) to the right type, if this has not been done before:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"if no_cast is True:\n",
" _type = {t.__name__: t for t in [type, bool, int, float, str, datetime]}\n",
" for v in dIT.meta['index'].values():\n",
" data[v['name']] = Frame.cast(data, v['name'], otype=_type[v['type']]) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Once the data cleaned, let's have a further look at some basic information, for instance concerning spatial coverage (information regarding province and cities/municipalities for which data have been collected in 2020):"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field of city names: \u001b[94mNOME_COMUNE\u001b[0m\n",
"- field of city codes: \u001b[94mCOD_PROVCOM\u001b[0m\n",
"\n",
"Cities/municipalities in the study: \u001b[94m['Agliè' 'Airasca' 'Ala di Stura' ... 'Villasimius' 'Villasor'\n",
" 'Villaspeciosa']\u001b[0m\n",
"Number of cities/municipalities: \u001b[1m6855\u001b[0m\n"
]
}
],
"source": [
"CITY = dIT.meta.get('index')['city']['name']\n",
"print(\"- field of city names: \\033[94m%s\\033[0m\" % CITY)\n",
"CITY_CODE = dIT.meta.get('index')['city_code']['name']\n",
"print(\"- field of city codes: \\033[94m%s\\033[0m\" % CITY_CODE)\n",
"\n",
"comuni = data[CITY].unique()\n",
"print(\"\\nCities/municipalities in the study: \\033[94m%s\\033[0m\" % comuni)\n",
"print(\"Number of cities/municipalities: \\033[1m%s\\033[0m\" % len(comuni))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"or the actual temporal coverage (prior to the year of study):"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Temporal coverage - Data collections considered: \u001b[1m[2015, 2020]\u001b[0m\n"
]
}
],
"source": [
"years = [int(\"20%s\" % tot.split('_')[1]) for tot in data.columns if tot.startswith('%s_' % T_20.split('_')[0])]\n",
"ystart, yend = min(years), max(years)\n",
"nyears = len(years)\n",
"print('Temporal coverage - Data collections considered: \\033[1m[%s, %s]\\033[0m' % (ystart, yend))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's have a further look at the time series and the dates covered by the collections in the various years:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field of day: \u001b[94mGE\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"0 0228\n",
"1 0113\n",
"2 0305\n",
"3 0204\n",
"4 0302\n",
"Name: GE, dtype: object"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DAY = dIT.meta.get('index')['date']['name']\n",
"print(\"- field of day: \\033[94m%s\\033[0m\" % DAY)\n",
"data[DAY].head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Actually, this is special coding of the days in the form \"MonthDay\" (\"*MeseMeseGiornoGiorno*\"), as described in the metadata. We introduce some basic functions to make date format conversions easier in the following:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- date format: \u001b[94m%m%d\u001b[0m\n",
"The 'day' field GE is described as follow: \u001b[94m'Giorno di decesso (formato variabile: MeseMeseGiornoGiorno).'\u001b[0m\n"
]
}
],
"source": [
"DATEFMT = dIT.meta.get('datefmt')\n",
"print(\"- date format: \\033[94m%s\\033[0m\" % DATEFMT)\n",
"print(\"The 'day' field %s is described as follow: \\033[94m'%s'\\033[0m\" \n",
" % (DAY,dIT.meta.get('index')['date']['desc']))\n",
"\n",
"def get_daymonth(ge):\n",
" try:\n",
" ge = datetime.strptime(ge, DATEFMT)\n",
" except ValueError: # deal with 29/02 \n",
" ge = time.strptime(ge, DATEFMT)\n",
" except TypeError: pass\n",
" try:\n",
" return ge.day, ge.month\n",
" except:\n",
" return ge.tm_mday, ge.tm_mon\n",
"def get_datetime(ge, year):\n",
" d = dict(zip(['d', 'm', 'y'], [*get_daymonth(ge), year]))\n",
" return Datetime.datetime(d, fmt='datetime')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's try to understand the purpose of these very basic methods:"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Today's date is represented in 'datetime' format as: 2020-05-08 10:28:36.946628\n",
"If today's date was present in the IT dataset, it would be represented in the \u001b[1mGE\u001b[0m field as: \u001b[1m'0508'\u001b[0m\n",
"\n",
"What 'get_daymonth' does, is simply return the '(day,month)' formatted date, whatever the input format:\n",
"- given today=2020-05-08 10:28:36.946628, get_daymonth(today) returns (8, 5)\n",
"- given today='0508', get_daymonth(today) returns (8, 5)\n",
"\n",
"Then 'get_datetime' retrieves the matching '(day,month)' of a given date in any other year:\n",
"- given today=2020-05-08 10:28:36.946628, get_datetime(today,2019) returns 2005-05-08 00:00:00\n",
"- given today='0508', get_datetime(today, 1912) returns also 1912-05-08 00:00:00\n",
"Note in particular for the leap day:\n",
"- get_datetime('0229',2000) returns 2000-02-29 00:00:00\n",
"- get_datetime('0229',2019) fails as we could expect...\n"
]
}
],
"source": [
"today = datetime.today()\n",
"print(\"Today's date is represented in 'datetime' format as: %s\" % today)\n",
"today_ge = '%02d%02d' % (today.month, today.day) # or also: datetime.strftime(today, DATEFMT) \n",
"print(\"If today's date was present in the IT dataset, it would be represented in the \\033[1m%s\\033[0m field as: \\033[1m'%s'\\033[0m\" \n",
" % (DAY,today_ge))\n",
"print(\"\\nWhat 'get_daymonth' does, is simply return the '(day,month)' formatted date, whatever the input format:\")\n",
"print(\"- given today=%s, get_daymonth(today) returns %s\" % (today,get_daymonth(today)))\n",
"print(\"- given today='%s', get_daymonth(today) returns %s\" % (today_ge,get_daymonth(today)))\n",
"print(\"\\nThen 'get_datetime' retrieves the matching '(day,month)' of a given date in any other year:\")\n",
"print(\"- given today=%s, get_datetime(today,2019) returns %s\" % (today,get_datetime(today,2005)))\n",
"print(\"- given today='%s', get_datetime(today, 1912) returns also %s\" % (today_ge,get_datetime(today,1912)))\n",
"print(\"Note in particular for the leap day:\")\n",
"print(\"- get_datetime('0229',2000) returns %s\" % get_datetime('0229',2000))\n",
"try:\n",
" print(\"- get_datetime('0229',2019) returns %s\" % get_datetime('0229',2019))\n",
"except ValueError:\n",
" print(\"- get_datetime('0229',2019) fails as we could expect...\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Given the `DAY` (*i.e.*, \"GE\") column, we can find out about the first and last days represented in the study:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Period of data collection considered: \u001b[1m[1/1, 15/4]\u001b[0m\n"
]
}
],
"source": [
"dstart, dend = data[DAY].min(), data[DAY].max()\n",
"print('Period of data collection considered: \\033[1m[%s/%s, %s/%s]\\033[0m' % \\\n",
" (*get_daymonth(dstart), *get_daymonth(dend)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Considering the temporal corevage (over >4 years), we introduce a year of reference to define the (maximal) length of the time series:"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"A leap year for sure: 2000!\n",
"Max lenght of the time series, i.e. number of days covered by the data collection: \u001b[1m106 days\u001b[0m\n"
]
}
],
"source": [
"YREF = 2000 \n",
"print(\"A leap year for sure: %s!\" % YREF)\n",
"dstartref, dendref = get_datetime(dstart, YREF), get_datetime(dend, YREF)\n",
"\n",
"span = Datetime.span(since=dstartref, until=dendref)\n",
"ndays = span.days + 1 # +1 because dates are inclusive\n",
"print('Max lenght of the time series, i.e. number of days covered by the data collection: \\033[1m%s days\\033[0m' \n",
" % ndays)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"One more consideration regarding the presence of a leapday in the time-series:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Time series will be padded in position: \u001b[1m59\u001b[0m corresponding to leapday 29/02\n"
]
}
],
"source": [
"leapday = Datetime.datetime({'y':YREF, 'm':2, 'd':29}, fmt='datetime')\n",
"spanleap = Datetime.span(since=dstartref, until=leapday)\n",
"ileapday = spanleap.days # note that indexing starts at 0\n",
"print('Time series will be padded in position: \\033[1m%s\\033[0m corresponding to leapday 29/02' % ileapday)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We also introduce, for the rest of the study, an timeline index based on the longest possible time series (for instance during the `YREF` leap year):"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',\n",
" '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',\n",
" '2000-01-09', '2000-01-10',\n",
" ...\n",
" '2000-04-06', '2000-04-07', '2000-04-08', '2000-04-09',\n",
" '2000-04-10', '2000-04-11', '2000-04-12', '2000-04-13',\n",
" '2000-04-14', '2000-04-15'],\n",
" dtype='datetime64[ns]', length=106, freq='D')\n"
]
}
],
"source": [
"idx_timeline = pd.date_range(start=dstartref, end=dendref, freq=timedelta(1))\n",
"assert len(idx_timeline) == ndays\n",
"print(idx_timeline)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 1 - Map of ANPR municipalities included in the data set"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Similarly to the mortality dataset, the geographical dataset that will help us identify (and locate) cities/municipalities in the dataset is represented by a metadata info file, namely the `JSON` file 'ITmetadata.json' that should be contained in this directory:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"GEOMETADATA = 'ITmetageo.json'\n",
"GEOMETA = os.path.join(THISDIR[0], 'metadata/%s' % GEOMETADATA)\n",
"try:\n",
" assert os.path.exists(GEOMETA)\n",
"except:\n",
" !if ! [ -d metadata ]; then mkdir metadata; fi\n",
" !wget -O $GEOMETA https://raw.githubusercontent.com/gjacopo/morbstat/master/metadata/$GEOMETADATA\n",
"dgeoIT = MortDatIT(GEOMETA)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note the location and format (shapefile files in a remote zip file) of the source datasets:"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Source file: http://www.istat.it/storage/cartografia/confini_amministrativi/non_generalizzati/Limiti01012020.zip\n",
"Datasets: \u001b[94m'['Com01012020_WGS84.shp', 'Com01012020_WGS84.shx', 'Com01012020_WGS84.dbf', 'Com01012020_WGS84.prj']'\u001b[0m\n"
]
}
],
"source": [
"print(\"Source file: %s\" % dgeoIT.meta.source)\n",
"print(\"Datasets: \\033[94m'%s'\\033[0m\" % dgeoIT.meta.file)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will load the geographical data using that same `load_data` method as earlier. Because of the way it is implemented (the package `pyeudatnat` uses `geopandas` for the representation and handling of geographical/vector datasets), the data will need to be loaded on the disk (hence the option `on_disk=True` below). In addition, because the format of the data is known (shapefile), we ensure only this file is loaded (the option `infer_fmt=False` will prevent from trying to load all the other files ['.shx', '.dbf', '.prj'] that normaly accompany the shapefile '.shp'). You could also add the keyword option `fmt='shapefile'` below: "
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Geo information retrieved on \u001b[1m08/05/2020\u001b[0m\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/gjacopo/Developments/pyEUDatNat/pyeudatnat/io.py:940: UserWarning: \n",
"! 'SHP' data loaded in dataframe !\n",
" warnings.warn(\"\\n! '%s' data loaded in dataframe !\" % f.upper())\n",
"/Users/gjacopo/Developments/pyEUDatNat/pyeudatnat/io.py:1087: UserWarning: \n",
"! File 'Limiti01012020/Com01012020/Com01012020_WGS84.shx' will not be loaded !\n",
" warnings.warn(\"\\n! File '%s' will not be loaded !\" % file)\n",
"/Users/gjacopo/Developments/pyEUDatNat/pyeudatnat/io.py:1087: UserWarning: \n",
"! File 'Limiti01012020/Com01012020/Com01012020_WGS84.dbf' will not be loaded !\n",
" warnings.warn(\"\\n! File '%s' will not be loaded !\" % file)\n",
"/Users/gjacopo/Developments/pyEUDatNat/pyeudatnat/io.py:1087: UserWarning: \n",
"! File 'Limiti01012020/Com01012020/Com01012020_WGS84.prj' will not be loaded !\n",
" warnings.warn(\"\\n! File '%s' will not be loaded !\" % file)\n"
]
}
],
"source": [
"dgeoIT.load_data(on_disk=True, infer_fmt=False)\n",
"print ('Geo information retrieved on \\033[1m%s\\033[0m' % Datetime.datetime(Datetime.TODAY(), fmt='%d/%m/%Y'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can check the projection used for representing the data. In that case ('WGS84' or 'EPSG:32632' code), data are simply represented by their geographical (latitute/longitude) coordinates:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"epsg:32632\n"
]
},
{
"data": {
"text/plain": [
"\n",
"Name: WGS 84 / UTM zone 32N\n",
"Axis Info [cartesian]:\n",
"- E[east]: Easting (metre)\n",
"- N[north]: Northing (metre)\n",
"Area of Use:\n",
"- name: World - N hemisphere - 6°E to 12°E - by country\n",
"- bounds: (6.0, 0.0, 12.0, 84.0)\n",
"Coordinate Operation:\n",
"- name: UTM zone 32N\n",
"- method: Transverse Mercator\n",
"Datum: World Geodetic System 1984\n",
"- Ellipsoid: WGS 84\n",
"- Prime Meridian: Greenwich"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(dgeoIT.data.crs)\n",
"dgeoIT.data.crs"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Attributes of the geodata (including geometries): \u001b[94m['COD_RIP', 'COD_REG', 'COD_PROV', 'COD_CM', 'COD_UTS', 'PRO_COM', 'PRO_COM_T', 'COMUNE', 'COMUNE_A', 'CC_UTS', 'SHAPE_LENG', 'SHAPE_AREA', 'SHAPE_LEN', 'geometry']\u001b[0m\n"
]
},
{
"data": {
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"
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"\n",
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" \n",
"
\n",
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\n",
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COD_RIP
\n",
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COD_REG
\n",
"
COD_PROV
\n",
"
COD_CM
\n",
"
COD_UTS
\n",
"
PRO_COM
\n",
"
PRO_COM_T
\n",
"
COMUNE
\n",
"
COMUNE_A
\n",
"
CC_UTS
\n",
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SHAPE_LENG
\n",
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SHAPE_AREA
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18164.369945
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1.202212e+07
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18164.236621
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Chiesanuova
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None
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0
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Coazze
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None
\n",
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41591.434852
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5.657268e+07
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41591.122092
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201
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1006
\n",
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001006
\n",
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Almese
\n",
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None
\n",
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0
\n",
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17058.567837
\n",
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1.787564e+07
\n",
"
17058.439037
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POLYGON ((376934.962 4999073.854, 376960.555 4...
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Alpette
\n",
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None
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9795.635259
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5.626076e+06
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9795.562269
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"text/plain": [
" COD_RIP COD_REG COD_PROV COD_CM COD_UTS PRO_COM PRO_COM_T \\\n",
"0 1 1 1 201 201 1077 001077 \n",
"1 1 1 1 201 201 1079 001079 \n",
"2 1 1 1 201 201 1089 001089 \n",
"3 1 1 1 201 201 1006 001006 \n",
"4 1 1 1 201 201 1007 001007 \n",
"\n",
" COMUNE COMUNE_A CC_UTS SHAPE_LENG SHAPE_AREA SHAPE_LEN \\\n",
"0 Chiaverano None 0 18164.369945 1.202212e+07 18164.236621 \n",
"1 Chiesanuova None 0 10777.398475 4.118911e+06 10777.318814 \n",
"2 Coazze None 0 41591.434852 5.657268e+07 41591.122092 \n",
"3 Almese None 0 17058.567837 1.787564e+07 17058.439037 \n",
"4 Alpette None 0 9795.635259 5.626076e+06 9795.562269 \n",
"\n",
" geometry \n",
"0 POLYGON ((414358.390 5042001.044, 414381.796 5... \n",
"1 POLYGON ((394621.039 5031581.116, 394716.100 5... \n",
"2 POLYGON ((364914.897 4993224.894, 364929.991 4... \n",
"3 POLYGON ((376934.962 4999073.854, 376960.555 4... \n",
"4 POLYGON ((388890.737 5030465.123, 388945.987 5... "
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print('Attributes of the geodata (including geometries): \\033[94m%s\\033[0m' % list(dgeoIT.data.columns)) \n",
"dgeoIT.data.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In particular, the geographical (vector) information is specifically provided through the `geometry` field of the dataset as a set of `shapely` structures: "
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 POLYGON ((414358.390 5042001.044, 414381.796 5...\n",
"1 POLYGON ((394621.039 5031581.116, 394716.100 5...\n",
"2 POLYGON ((364914.897 4993224.894, 364929.991 4...\n",
"3 POLYGON ((376934.962 4999073.854, 376960.555 4...\n",
"4 POLYGON ((388890.737 5030465.123, 388945.987 5...\n",
"Name: geometry, dtype: geometry"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dgeoIT.data['geometry'].head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will 'join' the information from both datasets by matching the field/attribute that represent the city code in the two datasets: "
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field uniquely identifying cities/municipalities in mortality dataset: \u001b[94mCOD_PROVCOM\u001b[0m\n",
"- field uniquely identifying cities/municipalities in geographical reference dataset: \u001b[94mPRO_COM_T\u001b[0m\n"
]
}
],
"source": [
"CITY_CODE = dIT.meta.get('index')['city_code']['name'] \n",
"print(\"- field uniquely identifying cities/municipalities in mortality dataset: \\033[94m%s\\033[0m\" % CITY_CODE)\n",
"PRO_COM_T = dgeoIT.meta.get('index')['PRO_COM_T']['name'] \n",
"print(\"- field uniquely identifying cities/municipalities in geographical reference dataset: \\033[94m%s\\033[0m\" % PRO_COM_T)\n",
"code_comuni = Structure.uniq_list(data[CITY_CODE].to_list())\n",
"# assert len(code_comuni) == len(comuni) # some inconsistencies in the datasets..."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that the 'join' operation is not an actual 'join', instead we filter out the geographical datasets to keep only those cities/municipalities that are also present in the mortality dataset:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"f, ax = mplt.subplots(1, figsize=(16, 16))\n",
"geodata.plot(ax=ax)\n",
"ax.set_axis_off()\n",
"ax.set_title('Figure 1: Map of ANPR municipalities included in the data set')\n",
"mplt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 2 - Daily and cumulated deaths for all municipalities in the data set"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We now represent the daily and cumulated deaths for the entire population and for all municipalities present in the dataset.\n",
"\n",
"Simply group by date and sum the total counts of deaths per year (\"TOTAL_\\*\\*\") over all other remaining fields (*e.g.*, age class and cities):"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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1742
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"text/plain": [
" 2015 2016 2017 2018 2019 2020\n",
"GE \n",
"0101 2253 1748 2187 2014 1742 1685\n",
"0102 1895 1665 2295 2022 1784 1690\n",
"0103 1900 1639 2317 1965 1755 1706\n",
"0104 1951 1725 2260 1973 1666 1692\n",
"0105 2003 1720 2252 2037 1732 1671"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dailydeaths = pd.DataFrame()\n",
"for y in years:\n",
" TCOL = dIT.meta.get('index')['t_%s' % str(y)[2:]]['name'] \n",
" dailydeaths[y] = data.groupby(DAY)[TCOL].agg('sum')\n",
"dailydeaths.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We also possibly pad the data for non-leap years on the date 29/02:"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Counts on 29/02 \u001b[1mbefore\u001b[0m padding:\n",
" 2015 2016 2017 2018 2019 2020\n",
"GE \n",
"0228 1689 1509 1700 1753 1834 1671\n",
"0229 0 1504 0 0 0 1594\n",
"Counts on 29/02 \u001b[1mafter\u001b[0m padding:\n",
" 2015 2016 2017 2018 2019 2020\n",
"GE \n",
"0228 1689 1509 1700 1753 1834 1671\n",
"0229 1689 1504 1700 1753 1834 1594\n"
]
}
],
"source": [
"print(\"Counts on 29/02 \\033[1mbefore\\033[0m padding:\\n %s\" % dailydeaths.iloc[ileapday-1:ileapday+1,:])\n",
"for y in years:\n",
" if calendar.isleap(y): continue\n",
" yloc = dailydeaths.columns.get_loc(y)\n",
" dailydeaths.iloc[ileapday,yloc] = dailydeaths.iloc[ileapday-1,yloc]\n",
"print(\"Counts on 29/02 \\033[1mafter\\033[0m padding:\\n %s\" % dailydeaths.iloc[ileapday-1:ileapday+1,:])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that at this stage, the table is indexed by the `DAY` (*i.e.*, 'GE') field (in the form *'MeseMeseGiornoGiorno'*). Instead we want to set the index to the known dates and reindex with the actual timeline since days may be missing (?):"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Initial index: Index(['0101', '0102', '0103', '0104', '0105', '0106', '0107', '0108', '0109',\n",
" '0110',\n",
" ...\n",
" '0406', '0407', '0408', '0409', '0410', '0411', '0412', '0413', '0414',\n",
" '0415'],\n",
" dtype='object', name='GE', length=106)\n",
"Index reset to actual timeline an garanteed complete days: DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',\n",
" '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',\n",
" '2000-01-09', '2000-01-10',\n",
" ...\n",
" '2000-04-06', '2000-04-07', '2000-04-08', '2000-04-09',\n",
" '2000-04-10', '2000-04-11', '2000-04-12', '2000-04-13',\n",
" '2000-04-14', '2000-04-15'],\n",
" dtype='datetime64[ns]', length=106, freq='D')\n"
]
}
],
"source": [
"print('Initial index: %s' % dailydeaths.index) \n",
"dailydeaths.set_index(dailydeaths.index.to_series().apply(lambda ge: get_datetime(ge,YREF)), inplace=True)\n",
"dailydeaths = dailydeaths.reindex(idx_timeline, fill_value=0) \n",
"# instead of dailydeaths.set_index(idx_rng, inplace=True)\n",
"print('Index reset to actual timeline an garanteed complete days: %s' % dailydeaths.index) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We introduce two additional time-series for comparison, the count of deaths averaged over all the years prior to the year of study (`years_exc`): "
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2000-01-01 1988.8\n",
"2000-01-02 1932.2\n",
"2000-01-03 1915.2\n",
"2000-01-04 1915.0\n",
"2000-01-05 1948.8\n",
" ... \n",
"2000-04-11 999.6\n",
"2000-04-12 1007.0\n",
"2000-04-13 1026.8\n",
"2000-04-14 1014.2\n",
"2000-04-15 1015.0\n",
"Freq: D, Length: 106, dtype: float64"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"years_exc = years.copy()\n",
"years_exc.remove(YEAR)\n",
"\n",
"avdailydeathsexc = dailydeaths[years_exc].mean(axis = 1, skipna =True) \n",
"avdailydeathsexc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"and the average count of deaths by week:"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
2015
\n",
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2016
\n",
"
2017
\n",
"
2018
\n",
"
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2020
\n",
"
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" \n",
" \n",
"
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"
2000-01-02
\n",
"
2074.000000
\n",
"
1706.500000
\n",
"
2241.000000
\n",
"
2018.000000
\n",
"
1763.000000
\n",
"
1687.500000
\n",
"
\n",
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2000-01-09
\n",
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1938.285714
\n",
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1677.428571
\n",
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2219.285714
\n",
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1999.428571
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1765.571429
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1710.142857
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2000-01-16
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1918.000000
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1622.428571
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2346.714286
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1936.857143
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2000-01-23
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1637.714286
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2186.285714
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1866.428571
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1883.428571
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1726.000000
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2000-01-30
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1850.000000
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1997.714286
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],
"text/plain": [
" 2015 2016 2017 2018 2019 \\\n",
"2000-01-02 2074.000000 1706.500000 2241.000000 2018.000000 1763.000000 \n",
"2000-01-09 1938.285714 1677.428571 2219.285714 1999.428571 1765.571429 \n",
"2000-01-16 1918.000000 1622.428571 2346.714286 1936.857143 1855.142857 \n",
"2000-01-23 1850.142857 1637.714286 2186.285714 1866.428571 1883.428571 \n",
"2000-01-30 1850.000000 1646.285714 1997.714286 1796.714286 1891.857143 \n",
"\n",
" 2020 \n",
"2000-01-02 1687.500000 \n",
"2000-01-09 1710.142857 \n",
"2000-01-16 1718.285714 \n",
"2000-01-23 1726.000000 \n",
"2000-01-30 1717.000000 "
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"weeklydeaths = dailydeaths.resample('W').mean()\n",
"weeklydeaths.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For displaying the data (likewise the figures in the original publication), we introduce our own 'house-made' plotting function to further simplifying the automated display of time-series:"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"def plot_one(dat, index = None, one = None, bar=False, \n",
" fig=None, ax=None, figsize=_FIGSIZE_, dpi=_DPI_, shp = (1,1), \n",
" marker='v', color='r', linestyle='-', label='', \n",
" grid = False, xticks = None, xticklabels = None, xrottick = False, \n",
" locator = None, formatter = None, \n",
" xlabel='', ylabel='', title = '', suptitle=''): \n",
" if ax is None:\n",
" if shp in (None,[],()): shp = (1,1)\n",
" if dpi is None: \n",
" fig, pax = mplt.subplots(*shp, figsize=figsize, constrained_layout=True)\n",
" else: \n",
" fig, pax = mplt.subplots(*shp, figsize=figsize, dpi=dpi, constrained_layout=True)\n",
" if isinstance(pax,np.ndarray):\n",
" if pax.ndim == 1: ax_ = pax[0]\n",
" else: ax_ = pax[0,0]\n",
" else:\n",
" ax_ = pax\n",
" else:\n",
" ax_, pax = ax, None\n",
" if index is None:\n",
" index = dat.index\n",
" if bar is True:\n",
" ax_.bar(dat.index.values, \n",
" dat.loc[index] if one is None else dat.loc[index, one], \n",
" color=color, label=label)\n",
" else:\n",
" ax_.plot(dat.loc[index] if one is None else dat.loc[index, one], \n",
" c=color, marker=marker, markersize=3, ls=linestyle, lw=0.6,\n",
" label=label)\n",
" ax_.set_xlabel(xlabel), ax_.set_ylabel(ylabel)\n",
" if grid is not False: ax_.grid(linewidth=grid)\n",
" if xticks is not None: ax_.set_xticks(xticks)\n",
" if xticklabels is not None: ax_.set_xticklabels(xticklabels) \n",
" if xrottick is not False: ax_.tick_params(axis ='x', labelrotation=xrottick)\n",
" if formatter is not None: ax_.xaxis.set_major_formatter(formatter)\n",
" if locator is not None: ax_.xaxis.set_major_locator(locator)\n",
" ax_.legend(fontsize='small')\n",
" if title not in ('',None): ax_.set_title(title, fontsize='medium')\n",
" if fig is not None and suptitle not in ('',None): \n",
" fig.suptitle(suptitle, fontsize='medium')\n",
" if pax is not None:\n",
" return fig, pax"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see quickly how this works in practice on a dummy example: "
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
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"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_oneversus(cumdailydeaths, one = YEAR, versus = years_exc[::-1], grid = 0.1,\n",
" ylabel='cumulative death counts', \n",
" title = 'Figure 2 (b): Cumulative deaths for all municipalities in the data set', \n",
" locator = locator, formatter = formatter\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 3 - Age distribution of total deaths in the period 15-21 March"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First we set the period of interest:"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"dstart = get_datetime('0315',YREF) \n",
"week = dstart.isocalendar()[1]\n",
"dend = dstart + timedelta(6) # ddays[-1] \n",
"ddays = ['%02d%02d' % (d.month,d.day) for d in [dstart + timedelta(i) for i in range(6)]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will use the specific field with class ages in the dataset. That's also where the metadata information comes handy:"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field of age classes: \u001b[94mCL_ETA\u001b[0m\n",
"- range of age classes: \u001b[94m{'0': '0', '1': '1-4', '2': '5-9', '3': '10-14', '4': '15-19', '5': '20-24', '6': '25-29', '7': '30-34', '8': '35-39', '9': '40-44', '10': '45-49', '11': '50-54', '12': '55-59', '13': '60-64', '14': '65-69', '15': '70-74', '16': '75-79', '17': '80-84', '18': '85-89', '19': '90-94', '20': '95-99', '21': '100+'}\u001b[0m\n"
]
}
],
"source": [
"AGE = dIT.meta.get('index')['age']['name']\n",
"print(\"- field of age classes: \\033[94m%s\\033[0m\" % AGE)\n",
"FORMATTER = dIT.meta.get('index')['age']['values']\n",
"print(\"- range of age classes: \\033[94m%s\\033[0m\" % FORMATTER)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For this illustration, we will create a dictionary of dataframes indexed by gender: 't', 'f' and 'm'. We then proceed like for the previous dataset `dailydeaths`, simply grouping by date and age class, then *resp.* summing the 't', 'f' and 'm' counts of deaths per year (*resp.*, \"TOTAL_\\*\\*\", \"F_\\*\\*\" and \"M_\\*\\*\") over all other remaining fields (*e.g.*, cities): "
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"text/plain": [
" 2015 2016 2017 2018 2019 2020\n",
"CL_ETA \n",
"0 4 13 8 7 9 6\n",
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"2 1 0 0 3 0 0\n",
"3 0 1 2 2 0 0\n",
"4 1 0 2 4 4 2"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ageofdeaths = dict.fromkeys(['t','f','m'])\n",
"for k in ageofdeaths.keys():\n",
" deaths = pd.DataFrame()\n",
" for y in years:\n",
" COL = dIT.meta.get('index')['%s_%s' % (k,str(y)[2:])]['name']\n",
" d = data.groupby([AGE,DAY])[COL].agg('sum')\n",
" if leapday >= dstart and leapday <= dend:\n",
" # well... we should do something to be truly generic here... next time!\n",
" pass\n",
" deaths[y] = d[d.index.get_level_values(DAY).isin(ddays)].groupby(AGE).agg('sum')\n",
" ageofdeaths.update({k: deaths})\n",
"ageofdeaths['f'].head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We then represent together the series for the different years:"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plot_one(ageofdeaths['t'], one = YEAR, label = YEAR,\n",
" marker = 'v', color = 'r', linestyle = '-', xrottick = -45, grid = 0.1,\n",
" xlabel = 'age group', ylabel = 'death total counts',\n",
" title = 'Figure 3: Age distribution of total deaths in the period [%s/%s, %s/%s] (week #%s)' %\n",
" (*get_daymonth(dstart), *get_daymonth(dend), week),\n",
" xticks = list(range(len(FORMATTER.keys()))), xticklabels = list(FORMATTER.values())\n",
" )\n",
"\n",
"next(ax._get_lines.prop_cycler)\n",
"ax.plot(ageofdeaths['t'][years_exc[::-1]],\n",
" marker='o', markersize=3, linestyle='None'\n",
" )\n",
"\n",
"ax.legend(years[::-1]) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 4 - Relative increment of 2020 over baseline in 15-21 March per age group"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The previously generated dataset `ageofdeaths` is used to relative increment of 2020 over baseline in 15-21 March per age group:"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"for k in ageofdeaths.keys():\n",
" deaths = ageofdeaths[k]\n",
" deaths['base'] = deaths[years_exc].mean(axis = 1)\n",
" deaths['rinc'] = deaths[YEAR].sub(deaths.base).div(deaths.base)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We define the period of interest:"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Age ranges considered in '65+': \u001b[1m['50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80-84', '85-89', '90-94', '95-99', '100+']\u001b[0m\n"
]
}
],
"source": [
"astart, aend = 11, max(map(int,list(FORMATTER.keys())))\n",
"rages, sages = range(astart, aend+1), slice(astart, aend)\n",
"print(\"Age ranges considered in '65+': \\033[1m%s\\033[0m\" % [FORMATTER[str(i)] for i in rages])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"that we use then for generating the figure:"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def func_formater(val, pos):\n",
" try: return FORMATTER[str(int(val))]\n",
" except: return ''\n",
"\n",
"fig, ax = plot_one(ageofdeaths['t'], index = sages, one = 'rinc',\n",
" marker = '*', color = 'k', linestyle = 'None',\n",
" xrottick = -45, grid = 0.2,\n",
" xlabel = 'age class', ylabel = 'relative increment over baseline', label = 'm+f',\n",
" title = 'Figure 4: Relative increment of %s over baseline in the period [%s/%s, %s/%s] per age group' %\n",
" (YEAR, *get_daymonth(dstart), *get_daymonth(dend)), \n",
" formatter = FuncFormatter(func_formater), locator = IndexLocator(base=1,offset=0)\n",
" )\n",
"ax.plot(ageofdeaths['f'].loc[sages,'rinc'],\n",
" marker='o', color='g', markersize=3, linestyle='None', label='female'\n",
" )\n",
"\n",
"ax.plot(ageofdeaths['m'].loc[sages,'rinc'],\n",
" marker='D', color='b', markersize=3, linestyle='None', label='male'\n",
" )\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 5 - Empirical cumulative distribution of excess deaths in 15-21 March 2020 per age group"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We compute the empirical cumulative distribution of excess deaths in 15-21 March 2020 per age group:"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"incdeaths = ageofdeaths['t'].apply(lambda row: row[YEAR] - row['base'], axis=1)\n",
"cumdeaths = incdeaths.cumsum(axis = 0, skipna =True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"then plotting the empirical cumulative distribution of excess deaths in the considered period:"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"cumdailydeaths_m65 = dailydeaths_m65.cumsum(axis = 0)\n",
"\n",
"plot_oneversus(cumdailydeaths_m65, one = YEAR, versus = years_exc[::-1], grid = 0.1,\n",
" ylabel='cumulative death counts',\n",
" title = 'Figure 6 (b): Daily cumulative deaths (male 65+, total)',\n",
" locator = locator, formatter = formatter\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 7 - Total deaths in the period 1-21 March per individual municipalities"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We introduce (now only) a new field in the original dataset in the form of a reference date (in the leap year `YREF`) as a way to handle the time series (where the year used in the index is actually irrelevant, only the day/month information is of use): "
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
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GE_DATE
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REG
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PROV
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NOME_REGIONE
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NOME_PROVINCIA
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NOME_COMUNE
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COD_PROVCOM
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TIPO_COMUNE
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CL_ETA
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GE
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...
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F_17
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F_18
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F_19
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F_20
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T_15
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T_18
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T_20
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0
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2000-02-28
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1
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1
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Piemonte
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Torino
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Agliè
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5 rows × 28 columns
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"
],
"text/plain": [
" GE_DATE REG PROV NOME_REGIONE NOME_PROVINCIA NOME_COMUNE COD_PROVCOM \\\n",
"0 2000-02-28 1 1 Piemonte Torino Agliè 001001 \n",
"1 2000-01-13 1 1 Piemonte Torino Agliè 001001 \n",
"2 2000-03-05 1 1 Piemonte Torino Agliè 001001 \n",
"3 2000-02-04 1 1 Piemonte Torino Agliè 001001 \n",
"4 2000-03-02 1 1 Piemonte Torino Agliè 001001 \n",
"\n",
" TIPO_COMUNE CL_ETA GE ... F_17 F_18 F_19 F_20 T_15 T_16 T_17 \\\n",
"0 1 9 0228 ... 0 0 0 0 0 0 0 \n",
"1 1 10 0113 ... 0 0 0 0 0 0 0 \n",
"2 1 11 0305 ... 0 0 0 0 0 0 0 \n",
"3 1 12 0204 ... 0 0 0 0 0 0 1 \n",
"4 1 12 0302 ... 0 0 0 0 0 0 0 \n",
"\n",
" T_18 T_19 T_20 \n",
"0 0 1 0 \n",
"1 0 1 0 \n",
"2 1 0 0 \n",
"3 0 0 0 \n",
"4 0 0 1 \n",
"\n",
"[5 rows x 28 columns]"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dstart, dend = get_datetime('0301',YREF), get_datetime('0321',YREF)\n",
"data.insert(0, 'GE_DATE', data[DAY].apply(lambda row: get_datetime(row, YREF)))\n",
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Because we look now at cities/municipalities individually, we will be examining the following fields:"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"- field of city/municipality codes: \u001b[94mCOD_PROVCOM\u001b[0m\n",
"- field of province codes: \u001b[94mPROV\u001b[0m\n",
"- field of province names: \u001b[94mNOME_PROVINCIA\u001b[0m\n"
]
}
],
"source": [
"CITY_CODE = dIT.meta.get('index')['city_code']['name']\n",
"print(\"- field of city/municipality codes: \\033[94m%s\\033[0m\" % CITY_CODE)\n",
"PROV_CODE = dIT.meta.get('index')['prov_code']['name']\n",
"print(\"- field of province codes: \\033[94m%s\\033[0m\" % PROV_CODE)\n",
"PROVINCE = dIT.meta.get('index')['province']['name']\n",
"print(\"- field of province names: \\033[94m%s\\033[0m\" % PROVINCE)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Grouping by city/municipality enables us to actually estimate the sum of total deaths in the period considered (between `dstart` and `dend`). We also introduce the baseline figure for each city/municipality as the maximum number of deaths over the previous years':"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"cumdailydeaths = dailydeaths.cumsum(axis = 0)\n",
"\n",
"plot_oneversus(cumdailydeaths, one = YEAR, versus = years_exc[::-1],\n",
" ylabel='cumulative death counts', grid=0.1,\n",
" title = 'Figure %s: %s (%s) - Daily cumulative deaths (all)' % (fign[comune],comune,provincia), \n",
" locator = locator, formatter = formatter\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Similarly, we can process the data regarding the male population of 65y.o. and over in Codogno:"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"MCOLS = [dIT.meta.get('index')['m_%s' % str(y)[2:]]['name'] for y in years]\n",
"\n",
"dailydeaths_m65 = data[(data[CITY]==comune) & (data[AGE].isin(rages))].groupby(DAY).agg({t:'sum' for t in MCOLS}) \n",
"dailydeaths_m65.set_index(pd.Index(dailydeaths_m65.index.to_series().apply(lambda ge: get_datetime(ge,YREF))), \n",
" inplace=True)\n",
"dailydeaths_m65.sort_index(inplace=True)\n",
"dailydeaths_m65 = dailydeaths_m65.reindex(idx_timeline).rename(columns={m:int('20%s' % m[-2:]) for m in MCOLS})\n",
"\n",
"cumdailydeaths_m65 = dailydeaths_m65.cumsum(axis = 0)\n",
"\n",
"fig, ax = plot_oneversus(dailydeaths_m65, one = YEAR, versus = years_exc[::-1], shp = (1,2),\n",
" title='death counts', grid=0.1, xrottick = -45, \n",
" locator = locator, formatter = formatter\n",
" )\n",
"\n",
"plot_oneversus(cumdailydeaths_m65, one = YEAR, versus = years_exc[::-1], fig = fig, ax=ax[1],\n",
" title='cumulative death counts', grid=0.1, xrottick = -45, \n",
" suptitle = 'Figure %s: %s (%s) - Daily and daily cumulative deaths (male 65+)' \n",
" % (fign[comune],comune,provincia), \n",
" locator = locator, formatter = formatter\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure 13 - Total deaths in the week 15-21 March by groups of municipalities within the same province"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We look at statistics for groups of municipalities and consider the following timeline and 'province' entities:"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of provinces represented in the dataset: \u001b[1m107\u001b[0m\n"
]
},
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
NOME_PROVINCIA
\n",
"
PROV
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
Torino
\n",
"
1
\n",
"
\n",
"
\n",
"
29222
\n",
"
Vercelli
\n",
"
2
\n",
"
\n",
"
\n",
"
33732
\n",
"
Novara
\n",
"
3
\n",
"
\n",
"
\n",
"
40802
\n",
"
Cuneo
\n",
"
4
\n",
"
\n",
"
\n",
"
54084
\n",
"
Asti
\n",
"
5
\n",
"
\n",
"
\n",
"
59243
\n",
"
Alessandria
\n",
"
6
\n",
"
\n",
"
\n",
"
69855
\n",
"
Valle d'Aosta/Vallée d'Aoste
\n",
"
7
\n",
"
\n",
"
\n",
"
72681
\n",
"
Imperia
\n",
"
8
\n",
"
\n",
"
\n",
"
77343
\n",
"
Savona
\n",
"
9
\n",
"
\n",
"
\n",
"
83904
\n",
"
Genova
\n",
"
10
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" NOME_PROVINCIA PROV\n",
"0 Torino 1\n",
"29222 Vercelli 2\n",
"33732 Novara 3\n",
"40802 Cuneo 4\n",
"54084 Asti 5\n",
"59243 Alessandria 6\n",
"69855 Valle d'Aosta/Vallée d'Aoste 7\n",
"72681 Imperia 8\n",
"77343 Savona 9\n",
"83904 Genova 10"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dstart, dend = get_datetime('0315',YREF), get_datetime('0321',YREF)\n",
"\n",
"provinces = data.loc[:,[PROVINCE, PROV_CODE]].drop_duplicates()\n",
"print(\"Number of provinces represented in the dataset: \\033[1m%s\\033[0m\" % len(provinces))\n",
"provinces.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Similarly to the analysis run for Figure 7, we analyse total death counts for different groups of municipalities within the same province. However, the baseline this time will be the average death count for the previous years instead of the max: "
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
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2015
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2018
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2019
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2020
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base
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PROV
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475
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475.2
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\n",
"
\n",
"
2
\n",
"
39
\n",
"
50
\n",
"
51
\n",
"
44
\n",
"
49
\n",
"
100
\n",
"
46.6
\n",
"
\n",
"
\n",
"
3
\n",
"
75
\n",
"
75
\n",
"
84
\n",
"
61
\n",
"
89
\n",
"
153
\n",
"
76.8
\n",
"
\n",
"
\n",
"
4
\n",
"
115
\n",
"
133
\n",
"
113
\n",
"
124
\n",
"
132
\n",
"
163
\n",
"
123.4
\n",
"
\n",
"
\n",
"
5
\n",
"
53
\n",
"
69
\n",
"
53
\n",
"
59
\n",
"
51
\n",
"
65
\n",
"
57.0
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 2015 2016 2017 2018 2019 2020 base\n",
"PROV \n",
"1 449 489 478 485 475 585 475.2\n",
"2 39 50 51 44 49 100 46.6\n",
"3 75 75 84 61 89 153 76.8\n",
"4 115 133 113 124 132 163 123.4\n",
"5 53 69 53 59 51 65 57.0"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"provdeaths = pd.DataFrame()\n",
"for y in years:\n",
" TCOL = dIT.meta.get('index')['t_%s' % str(y)[2:]]['name'] \n",
" provdeaths[y] = data[data['GE_DATE'].between(dstart, dend, inclusive=True)] \\\n",
" .groupby(PROV_CODE)[TCOL].agg('sum')\n",
"provdeaths['base'] = provdeaths.loc[:,years_exc].mean(axis=1)\n",
"#assert len(provinces) == len(provdeaths)\n",
"provdeaths.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Actually, we will keep only those provinces that registered 10+ death events over the considered period in 2020:"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of provinces that recorded 10+ deaths during the considered period: \u001b[1m106\u001b[0m\n"
]
},
{
"data": {
"text/html": [
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49
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100
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46.6
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75
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84
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89
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153
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76.8
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4
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115
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133
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163
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123.4
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5
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53
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69
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53
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65
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\n",
"
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" \n",
"
\n",
"
"
],
"text/plain": [
" 2015 2016 2017 2018 2019 2020 base\n",
"PROV \n",
"1 449 489 478 485 475 585 475.2\n",
"2 39 50 51 44 49 100 46.6\n",
"3 75 75 84 61 89 153 76.8\n",
"4 115 133 113 124 132 163 123.4\n",
"5 53 69 53 59 51 65 57.0"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"provdeaths.drop(provdeaths[provdeaths[YEAR]<10].index, inplace=True)\n",
"print(\"Number of provinces that recorded 10+ deaths during the considered period: \\033[1m%s\\033[0m\" \n",
" % len(provdeaths))\n",
"provdeaths.head(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We further select some cities of interest within the subset of cites that registered 10+ death events:"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
NOME_PROVINCIA
\n",
"
PROV
\n",
"
\n",
"
\n",
"
PROV
\n",
"
\n",
"
\n",
"
\n",
" \n",
" \n",
"
\n",
"
15
\n",
"
Milano
\n",
"
15
\n",
"
\n",
"
\n",
"
16
\n",
"
Bergamo
\n",
"
16
\n",
"
\n",
"
\n",
"
17
\n",
"
Brescia
\n",
"
17
\n",
"
\n",
"
\n",
"
19
\n",
"
Cremona
\n",
"
19
\n",
"
\n",
"
\n",
"
33
\n",
"
Piacenza
\n",
"
33
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" NOME_PROVINCIA PROV\n",
"PROV \n",
"15 Milano 15\n",
"16 Bergamo 16\n",
"17 Brescia 17\n",
"19 Cremona 19\n",
"33 Piacenza 33"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"province = ['Piacenza', 'Cremona', 'Brescia', 'Bergamo', 'Milano']\n",
"provtable = provinces.loc[provinces[PROVINCE].isin(province)]\n",
"provtable.set_index(provtable[PROV_CODE], inplace=True)\n",
"provtable"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Then, the instructions for displaying the data is similar to that of [Figure 7](#Figure7):"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = mplt.subplots(dpi=_DPI_)\n",
"provdeaths.plot(loglog=True, x='base', y=YEAR, # kind='scatter',\n",
" ls='None', color='b', marker='s', fillstyle='none', label='data', ax=ax\n",
" )\n",
"\n",
"xlim, ylim = ax.get_xlim(), ax.get_ylim()\n",
"x = np.arange(0, 10**4, 1)\n",
"for i, c in zip([1,2,3,4,10], ['g', 'purple', 'red', 'k', 'pink']): \n",
" ax.loglog(x, i * x, label = 'y=%sx' % ('' if i==1 else str(i)), ls='-.', lw=0.8, c=c\n",
" )\n",
"ax.set_xlim(xlim), ax.set_ylim(ylim)\n",
"ax.grid(linewidth=0.3, which=\"both\", ls='dotted')\n",
"\n",
"for index in provtable.index:\n",
" xpos, ypos = provdeaths.loc[index,'base'], provdeaths.loc[index,YEAR]\n",
" r = np.random.random() +1\n",
" ax.annotate(provtable.loc[index,PROVINCE], \n",
" (xpos, ypos), \n",
" xytext=(xpos-r*10**(np.log10(xpos)-0.4), ypos-r*10**(np.log10(ypos)-1)), \n",
" arrowprops=dict(arrowstyle='->'), \n",
" size=9, ha='center')\n",
" \n",
"ax.set_xlabel('baseline mean')\n",
"ax.set_ylabel('deaths in %s' % YEAR)\n",
"ax.set_title('Figure 13: Total deaths in the period %s - %s by groups of municipalities within the same province' % \n",
" (Datetime.datetime(dstart, fmt='%d %b'), Datetime.datetime(dend, fmt='%d %b')), fontsize='medium'),\n",
"ax.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figures 14 - 16: Daily and cumulative deaths over individual provinces"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As we did for [Figures 8-12](#Figure8), we select this time a province represented in the dataset:"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Analysing the 'provincia di' \u001b[1mBergamo\u001b[0m (#\u001b[1m16\u001b[0m)\n"
]
}
],
"source": [
"fign = {'Bergamo':14, 'Lodi':15, 'Parma':16}\n",
"provincia = 'Bergamo' # 'Lodi' # 'Parma' \n",
"provincia_code = cities.loc[cities[PROVINCE]==provincia].loc[:,PROV_CODE].values.tolist()[0]\n",
"print(\"Analysing the 'provincia di' \\033[1m%s\\033[0m (#\\033[1m%s\\033[0m)\" \n",
" % (provincia,int(provincia_code)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"and we run a similar 'analysis' to actually report the total daily death counts and daily cumulative death counts:"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dailydeaths = pd.DataFrame()\n",
"for y in years:\n",
" TCOL = dIT.meta.get('index')['t_%s' % str(y)[2:]]['name'] \n",
" dailydeaths[y] = data[data[PROV_CODE]==provincia_code].groupby(DAY)[TCOL].agg('sum')\n",
" if not calendar.isleap(y):\n",
" yloc = dailydeaths.columns.get_loc(y)\n",
" dailydeaths.iloc[ileapday,yloc] = dailydeaths.iloc[ileapday-1,yloc]\n",
"dailydeaths.set_index(dailydeaths.index.to_series().apply(lambda ge: get_datetime(ge,YREF)), inplace=True)\n",
"dailydeaths = dailydeaths.reindex(idx_timeline, fill_value=0) \n",
"\n",
"cumdailydeaths = dailydeaths.cumsum(axis = 0)\n",
"\n",
"locator, formatter = mdates.DayLocator(bymonthday=[1,15]), mdates.DateFormatter('%d/%m')\n",
"\n",
"fig, ax = plot_oneversus(dailydeaths, one = YEAR, versus = years_exc[::-1], shp = (1,2),\n",
" title='death counts', grid=0.1, xrottick = -45,\n",
" locator = locator, formatter = formatter\n",
" )\n",
"\n",
"plot_oneversus(cumdailydeaths, one = YEAR, versus = years_exc[::-1], fig = fig, ax=ax[1],\n",
" title='cumulative death counts', grid=0.1, xrottick = -45,\n",
" suptitle = 'Figure %s: Daily deaths and cumulative deaths (all) - Province of %s'\n",
" % (fign[provincia],provincia),\n",
" locator = locator, formatter = formatter\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*ibid* for total daily death counts and daily cumulative death counts when considering the male population of 65 y.o. and over:"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dailydeaths_m65 = pd.DataFrame()\n",
"for y in years:\n",
" MCOL = dIT.meta.get('index')['m_%s' % str(y)[2:]]['name'] \n",
" dailydeaths_m65[y] = data[(data[PROV_CODE]==provincia_code) & (data[AGE].isin(rages))].groupby(DAY)[MCOL].agg('sum')\n",
" if not calendar.isleap(y):\n",
" yloc = dailydeaths_m65.columns.get_loc(y)\n",
" dailydeaths_m65.iloc[ileapday,yloc] = dailydeaths_m65.iloc[ileapday-1,yloc]\n",
"dailydeaths_m65.set_index(dailydeaths_m65.index.to_series().apply(lambda ge: get_datetime(ge,YREF)), inplace=True)\n",
"dailydeaths_m65 = dailydeaths_m65.reindex(idx_timeline, fill_value=0) \n",
"\n",
"cumdailydeaths_m65 = dailydeaths_m65.cumsum(axis = 0, skipna =True) # default\n",
"\n",
"locator, formatter = mdates.DayLocator(bymonthday=[1,15]), mdates.DateFormatter('%d/%m')\n",
"\n",
"fig, ax = plot_oneversus(dailydeaths_m65, one = YEAR, versus = years_exc[::-1], shp = (1,2),\n",
" title='death counts', grid=0.1, xrottick = -45,\n",
" locator = locator, formatter = formatter)\n",
"\n",
"plot_oneversus(cumdailydeaths_m65, one = YEAR, versus = years_exc[::-1], fig = fig, ax=ax[1],\n",
" title='cumulative death counts', grid=0.1, xrottick = -45,\n",
" suptitle = 'Figure %s: Daily deaths and cumulative deaths (males 65+) - Province of %s' \n",
" % (fign[provincia],provincia),\n",
" locator = locator, formatter = formatter)"
]
},
{
"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": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}