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coronavirus.py
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coronavirus.py
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import sys
import numpy as np
import pandas as pd
from datetime import datetime
import matplotlib.pyplot as plt
import seaborn as sns
import requests
import time
import matplotlib
import streamlit as st
import altair as alt
import time
# st.set_option('deprecation.showPyplotGlobalUse', False)
if sys.version_info[0] < 3:
reload(sys) # noqa: F821 pylint:disable=undefined-variable
sys.setdefaultencoding("utf-8")
# Functions
@st.cache
def getData():
plt.style.use('fivethirtyeight')
headers = {
'authority': 'www.epdata.es',
'pragma': 'no-cache',
'cache-control': 'no-cache',
'content-type': 'application/json; charset=UTF-8',
'origin': 'https://www.epdata.es',
'sec-fetch-site': 'same-origin',
'accept-language': 'es-ES,es;q=0.9,en;q=0.8,zh-CN;q=0.7,zh;q=0.6',
}
common_init = '{"Host":"www.epdata.es",'
common_end = ',"Formato":"json"}'
# Spain
cases_spain = '"Guid":"476812f9-73a2-4b5f-a74c-4824bc8b4a17"'
deaths_accum_spain = '"Guid":"b2568be9-c6b6-4056-86d6-02c6d45b1696"'
recovered_accum_spain = '"Guid":"58d0919c-8ad1-4a3f-9255-55f5b116da23"'
response_cases_spain = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_spain + common_end).json()
response_deaths_accum_spain = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_accum_spain + common_end).json()
response_recovered_accum_spain = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + recovered_accum_spain + common_end).json()
# Andalucia
cases_andalucia = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-290"'
deaths_andalucia = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-290"'
response_cases_andalucia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_andalucia + common_end).json()
response_deaths_andalucia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_andalucia + common_end).json()
# Aragon
cases_aragon = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-291"'
deaths_aragon = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-291"'
response_cases_aragon = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_aragon + common_end).json()
response_deaths_aragon = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_aragon + common_end).json()
# Asturias
cases_asturias = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-292"'
deaths_asturias = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-292"'
response_cases_asturias = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_asturias + common_end).json()
response_deaths_asturias = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_asturias + common_end).json()
# Canarias
cases_canarias = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-293"'
deaths_canarias = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-293"'
response_cases_canarias = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_canarias + common_end).json()
response_deaths_canarias = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_canarias + common_end).json()
# Cantabria
cases_cantabria = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-294"'
deaths_cantabria = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-294"'
response_cases_cantabria = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_cantabria + common_end).json()
response_deaths_cantabria = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_cantabria + common_end).json()
# Castilla y Leon
cases_castilla_y_leon = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-295"'
deaths_castilla_y_leon = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-295"'
response_cases_castilla_y_leon = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_castilla_y_leon + common_end).json()
response_deaths_castilla_y_leon = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_castilla_y_leon + common_end).json()
# Castilla La Mancha
cases_castilla_la_mancha = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-296"'
deaths_castilla_la_mancha = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-296"'
response_cases_castilla_la_mancha= requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_castilla_la_mancha+ common_end).json()
response_deaths_castilla_la_mancha= requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_castilla_la_mancha+ common_end).json()
# Catalunya
cases_catalunya = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-297"'
deaths_catalunya = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-297"'
response_cases_catalunya = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_catalunya + common_end).json()
response_deaths_catalunya = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_catalunya + common_end).json()
# Ceuta
cases_ceuta = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-298"'
deaths_ceuta = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-298"'
response_cases_ceuta = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_ceuta + common_end).json()
response_deaths_ceuta = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_ceuta + common_end).json()
# Comunidad Valenciana
cases_comunidad_valenciana = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-299"'
deaths_comunidad_valenciana = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-299"'
response_cases_comunidad_valenciana = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_comunidad_valenciana + common_end).json()
response_deaths_comunidad_valenciana = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_comunidad_valenciana + common_end).json()
# Extremadura
cases_extremadura = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-300"'
deaths_extremadura = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-300"'
response_cases_extremadura = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_extremadura + common_end).json()
response_deaths_extremadura = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_extremadura + common_end).json()
# Galicia
cases_galicia = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-301"'
deaths_galicia = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-301"'
response_cases_galicia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_galicia + common_end).json()
response_deaths_galicia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_galicia + common_end).json()
# Islas Baleares
cases_islas_baleares = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-302"'
deaths_islas_baleares = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-302"'
response_cases_islas_baleares = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_islas_baleares + common_end).json()
response_deaths_islas_baleares = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_islas_baleares + common_end).json()
# La Rioja
cases_la_rioja = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-303"'
deaths_la_rioja = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-303"'
response_cases_la_rioja = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_la_rioja + common_end).json()
response_deaths_la_rioja = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_la_rioja + common_end).json()
# Madrid
cases_madrid = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-304"'
deaths_madrid = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-304"'
response_cases_madrid = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_madrid + common_end).json()
response_deaths_madrid = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_madrid + common_end).json()
# Melilla
cases_melilla = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-305"'
deaths_melilla = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-305"'
response_cases_melilla = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_melilla + common_end).json()
response_deaths_melilla = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_melilla + common_end).json()
# Murcia
cases_murcia = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-306"'
deaths_murcia = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-306"'
response_cases_murcia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_murcia + common_end).json()
response_deaths_murcia = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_murcia + common_end).json()
# Navarra
cases_navarra = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-307"'
deaths_navarra = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-307"'
response_cases_navarra = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_navarra + common_end).json()
response_deaths_navarra = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_navarra + common_end).json()
# Pais Vasco
cases_pais_vasco = '"Guid":"ebb8e9f0-2c01-4090-bc03-569a348f45dc-308"'
deaths_pais_vasco = '"Guid":"81d9b17a-6b10-40de-a592-981cc548c6f2-308"'
response_cases_pais_vasco = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + cases_pais_vasco + common_end).json()
response_deaths_pais_vasco = requests.post('https://www.epdata.es/oembed/get/', headers = headers, data = common_init + deaths_pais_vasco + common_end).json()
# Dictionaries and constants
day_init_quarantine = 44
day14_init_quarantine = 59
day14_strict_quarantine = 73
first_day_to_plot = 33
last_day_to_plot = 75
# Create raw dataframe
# Crear dataframe con las coordenadas de cada región
# Spain
raw_cases_spain = pd.read_json(response_cases_spain)
raw_deaths_accum_spain = pd.read_json(response_deaths_accum_spain)
raw_recovered_accum_spain = pd.read_json(response_recovered_accum_spain)
# Andalucia
raw_cases_andalucia = pd.read_json(response_cases_andalucia)
raw_deaths_andalucia = pd.read_json(response_deaths_andalucia)
# Aragon
raw_cases_aragon = pd.read_json(response_cases_aragon)
raw_deaths_aragon = pd.read_json(response_deaths_aragon)
# Asturias
raw_cases_asturias = pd.read_json(response_cases_asturias)
raw_deaths_asturias = pd.read_json(response_deaths_asturias)
# Canarias
raw_cases_canarias = pd.read_json(response_cases_canarias)
raw_deaths_canarias = pd.read_json(response_deaths_canarias)
# Cantabria
raw_cases_cantabria = pd.read_json(response_cases_cantabria)
raw_deaths_cantabria = pd.read_json(response_deaths_cantabria)
# Castilla y Leon
raw_cases_castilla_y_leon = pd.read_json(response_cases_castilla_y_leon)
raw_deaths_castilla_y_leon = pd.read_json(response_deaths_castilla_y_leon)
# Castilla La Mancha
raw_cases_castilla_la_mancha = pd.read_json(response_cases_castilla_la_mancha)
raw_deaths_castilla_la_mancha = pd.read_json(response_deaths_castilla_la_mancha)
# Catalunya
raw_cases_catalunya = pd.read_json(response_cases_catalunya)
raw_deaths_catalunya = pd.read_json(response_deaths_catalunya)
# Ceuta
raw_cases_ceuta = pd.read_json(response_cases_ceuta)
raw_deaths_ceuta = pd.read_json(response_deaths_ceuta)
# Comunidad Valenciana
raw_cases_comunidad_valenciana = pd.read_json(response_cases_comunidad_valenciana )
raw_deaths_comunidad_valenciana = pd.read_json(response_deaths_comunidad_valenciana )
# Extremadura
raw_cases_extremadura = pd.read_json(response_cases_extremadura)
raw_deaths_extremadura = pd.read_json(response_deaths_extremadura)
# Galicia
raw_cases_galicia = pd.read_json(response_cases_galicia)
raw_deaths_galicia = pd.read_json(response_deaths_galicia)
# Islas Baleares
raw_cases_islas_baleares = pd.read_json(response_cases_islas_baleares)
raw_deaths_islas_baleares = pd.read_json(response_deaths_islas_baleares)
# La Rioja
raw_cases_la_rioja = pd.read_json(response_cases_la_rioja)
raw_deaths_la_rioja = pd.read_json(response_deaths_la_rioja)
# Madrid
raw_cases_madrid = pd.read_json(response_cases_madrid)
raw_deaths_madrid = pd.read_json(response_deaths_madrid)
# Melilla
raw_cases_melilla = pd.read_json(response_cases_melilla)
raw_deaths_melilla = pd.read_json(response_deaths_melilla)
# Murcia
raw_cases_murcia = pd.read_json(response_cases_murcia)
raw_deaths_murcia = pd.read_json(response_deaths_murcia)
# Navarra
raw_cases_navarra = pd.read_json(response_cases_navarra)
raw_deaths_navarra = pd.read_json(response_deaths_navarra)
# Pais Vasco
raw_cases_pais_vasco = pd.read_json(response_cases_pais_vasco)
raw_deaths_pais_vasco = pd.read_json(response_deaths_pais_vasco)
# Create dataframe Spain
df_cases_spain = createDataframeFromJson(raw_cases_spain)
df_cases_spain.rename(columns={'Cases': 'Cases_Spain'}, inplace= True)
df_deaths_accum_spain = createDataframeFromJson(raw_deaths_accum_spain)
df_deaths_accum_spain.rename(columns={'Cases': 'DeathsAccum_Spain'}, inplace= True)
df_recovered_accum_spain = createDataframeFromJson(raw_recovered_accum_spain)
df_recovered_accum_spain.rename(columns={'Cases': 'RecoveredAccum_Spain'}, inplace= True)
df_spain0 = pd.merge(df_cases_spain[['Period', 'Day','Cases_Spain']],
df_deaths_accum_spain[['Period', 'DeathsAccum_Spain']],
on='Period',
how='left')
df_spain = pd.merge(df_spain0[['Period', 'Day','Cases_Spain','DeathsAccum_Spain']],
df_recovered_accum_spain[['Period', 'RecoveredAccum_Spain']],
on='Period',
how='left')
# Create dataframe Andalucia
df_cases_andalucia = createDataframeFromJson(raw_cases_andalucia)
df_cases_andalucia.rename(columns={'Cases': 'Cases_Andalucia'}, inplace= True)
df_deaths_andalucia = createDataframeFromJson(raw_deaths_andalucia)
df_deaths_andalucia.rename(columns={'Cases': 'Deaths_Andalucia'}, inplace= True)
df_andalucia = pd.merge(df_cases_andalucia[['Period', 'Day','Cases_Andalucia']],
df_deaths_andalucia[['Period', 'Deaths_Andalucia']],
on='Period',
how='left')
# Create dataframe Aragon
df_cases_aragon = createDataframeFromJson(raw_cases_aragon)
df_cases_aragon.rename(columns={'Cases': 'Cases_Aragon'}, inplace= True)
df_deaths_aragon = createDataframeFromJson(raw_deaths_aragon)
df_deaths_aragon.rename(columns={'Cases': 'Deaths_Aragon'}, inplace= True)
df_aragon = pd.merge(df_cases_aragon[['Period', 'Day','Cases_Aragon']],
df_deaths_aragon[['Period', 'Deaths_Aragon']],
on='Period',
how='left')
# Create dataframe Asturias
df_cases_asturias = createDataframeFromJson(raw_cases_asturias)
df_cases_asturias.rename(columns={'Cases': 'Cases_Asturias'}, inplace= True)
df_deaths_asturias = createDataframeFromJson(raw_deaths_asturias)
df_deaths_asturias.rename(columns={'Cases': 'Deaths_Asturias'}, inplace= True)
df_asturias = pd.merge(df_cases_asturias[['Period', 'Day','Cases_Asturias']],
df_deaths_asturias[['Period', 'Deaths_Asturias']],
on='Period',
how='left')
# Create dataframe Canarias
df_cases_canarias = createDataframeFromJson(raw_cases_canarias)
df_cases_canarias.rename(columns={'Cases': 'Cases_Canarias'}, inplace= True)
df_deaths_canarias = createDataframeFromJson(raw_deaths_canarias)
df_deaths_canarias.rename(columns={'Cases': 'Deaths_Canarias'}, inplace= True)
df_canarias = pd.merge(df_cases_canarias[['Period', 'Day','Cases_Canarias']],
df_deaths_canarias[['Period', 'Deaths_Canarias']],
on='Period',
how='left')
# Create dataframe Cantabria
df_cases_cantabria = createDataframeFromJson(raw_cases_cantabria)
df_cases_cantabria.rename(columns={'Cases': 'Cases_Cantabria'}, inplace= True)
df_deaths_cantabria = createDataframeFromJson(raw_deaths_cantabria)
df_deaths_cantabria.rename(columns={'Cases': 'Deaths_Cantabria'}, inplace= True)
df_cantabria = pd.merge(df_cases_cantabria[['Period', 'Day','Cases_Cantabria']],
df_deaths_cantabria[['Period', 'Deaths_Cantabria']],
on='Period',
how='left')
# Create dataframe Castilla y Leon
df_cases_castilla_y_leon = createDataframeFromJson(raw_cases_castilla_y_leon)
df_cases_castilla_y_leon.rename(columns={'Cases': 'Cases_Castilla_y_Leon'}, inplace= True)
df_deaths_castilla_y_leon = createDataframeFromJson(raw_deaths_castilla_y_leon)
df_deaths_castilla_y_leon.rename(columns={'Cases': 'Deaths_Castilla_y_Leon'}, inplace= True)
df_castilla_y_leon = pd.merge(df_cases_castilla_y_leon[['Period', 'Day','Cases_Castilla_y_Leon']],
df_deaths_castilla_y_leon[['Period', 'Deaths_Castilla_y_Leon']],
on='Period',
how='left')
# Create dataframe Castilla La Mancha
df_cases_castilla_la_mancha = createDataframeFromJson(raw_cases_castilla_la_mancha)
df_cases_castilla_la_mancha.rename(columns={'Cases': 'Cases_Castilla_La_Mancha'}, inplace= True)
df_deaths_castilla_la_mancha = createDataframeFromJson(raw_deaths_castilla_la_mancha)
df_deaths_castilla_la_mancha.rename(columns={'Cases': 'Deaths_Castilla_La_Mancha'}, inplace= True)
df_castilla_la_mancha = pd.merge(df_cases_castilla_la_mancha[['Period', 'Day','Cases_Castilla_La_Mancha']],
df_deaths_castilla_la_mancha[['Period', 'Deaths_Castilla_La_Mancha']],
on='Period',
how='left')
# Create dataframe Catalunya
df_cases_catalunya = createDataframeFromJson(raw_cases_catalunya)
df_cases_catalunya.rename(columns={'Cases': 'Cases_Catalunya'}, inplace= True)
df_deaths_catalunya = createDataframeFromJson(raw_deaths_catalunya)
df_deaths_catalunya.rename(columns={'Cases': 'Deaths_Catalunya'}, inplace= True)
df_catalunya = pd.merge(df_cases_catalunya[['Period', 'Day','Cases_Catalunya']],
df_deaths_catalunya[['Period', 'Deaths_Catalunya']],
on='Period',
how='left')
# Create dataframe Ceuta
df_cases_ceuta = createDataframeFromJson(raw_cases_ceuta)
df_cases_ceuta.rename(columns={'Cases': 'Cases_Ceuta'}, inplace= True)
df_deaths_ceuta = createDataframeFromJson(raw_deaths_ceuta)
df_deaths_ceuta.rename(columns={'Cases': 'Deaths_Ceuta'}, inplace= True)
df_ceuta = pd.merge(df_cases_ceuta[['Period', 'Day','Cases_Ceuta']],
df_deaths_ceuta[['Period', 'Deaths_Ceuta']],
on='Period',
how='left')
# Create dataframe Comunidad Valenciana
df_cases_comunidad_valenciana = createDataframeFromJson(raw_cases_comunidad_valenciana)
df_cases_comunidad_valenciana.rename(columns={'Cases': 'Cases_Comunidad_Valenciana'}, inplace= True)
df_deaths_comunidad_valenciana = createDataframeFromJson(raw_deaths_comunidad_valenciana)
df_deaths_comunidad_valenciana.rename(columns={'Cases': 'Deaths_Comunidad_Valenciana'}, inplace= True)
df_comunidad_valenciana = pd.merge(df_cases_comunidad_valenciana[['Period', 'Day','Cases_Comunidad_Valenciana']],
df_deaths_comunidad_valenciana[['Period', 'Deaths_Comunidad_Valenciana']],
on='Period',
how='left')
# Create dataframe Extremadura
df_cases_extremadura = createDataframeFromJson(raw_cases_extremadura)
df_cases_extremadura.rename(columns={'Cases': 'Cases_Extremadura'}, inplace= True)
df_deaths_extremadura = createDataframeFromJson(raw_deaths_extremadura)
df_deaths_extremadura.rename(columns={'Cases': 'Deaths_Extremadura'}, inplace= True)
df_extremadura = pd.merge(df_cases_extremadura[['Period', 'Day','Cases_Extremadura']],
df_deaths_extremadura[['Period', 'Deaths_Extremadura']],
on='Period',
how='left')
# Create dataframe Galicia
df_cases_galicia = createDataframeFromJson(raw_cases_galicia)
df_cases_galicia.rename(columns={'Cases': 'Cases_Galicia'}, inplace= True)
df_deaths_galicia = createDataframeFromJson(raw_deaths_galicia)
df_deaths_galicia.rename(columns={'Cases': 'Deaths_Galicia'}, inplace= True)
df_galicia = pd.merge(df_cases_galicia[['Period', 'Day','Cases_Galicia']],
df_deaths_galicia[['Period', 'Deaths_Galicia']],
on='Period',
how='left')
# Create dataframe Islas Baleares
df_cases_islas_baleares = createDataframeFromJson(raw_cases_islas_baleares)
df_cases_islas_baleares.rename(columns={'Cases': 'Cases_Islas_Baleares'}, inplace= True)
df_deaths_islas_baleares = createDataframeFromJson(raw_deaths_islas_baleares)
df_deaths_islas_baleares.rename(columns={'Cases': 'Deaths_Islas_Baleares'}, inplace= True)
df_islas_baleares = pd.merge(df_cases_islas_baleares[['Period', 'Day','Cases_Islas_Baleares']],
df_deaths_islas_baleares[['Period', 'Deaths_Islas_Baleares']],
on='Period',
how='left')
# Create dataframe La Rioja
df_cases_la_rioja = createDataframeFromJson(raw_cases_la_rioja)
df_cases_la_rioja.rename(columns={'Cases': 'Cases_La_Rioja'}, inplace= True)
df_deaths_la_rioja = createDataframeFromJson(raw_deaths_la_rioja)
df_deaths_la_rioja.rename(columns={'Cases': 'Deaths_La_Rioja'}, inplace= True)
df_la_rioja = pd.merge(df_cases_la_rioja[['Period', 'Day','Cases_La_Rioja']],
df_deaths_la_rioja[['Period', 'Deaths_La_Rioja']],
on='Period',
how='left')
# Create dataframe Madrid
df_cases_madrid = createDataframeFromJson(raw_cases_madrid)
df_cases_madrid.rename(columns={'Cases': 'Cases_Madrid'}, inplace= True)
df_deaths_madrid = createDataframeFromJson(raw_deaths_madrid)
df_deaths_madrid.rename(columns={'Cases': 'Deaths_Madrid'}, inplace= True)
df_madrid = pd.merge(df_cases_madrid[['Period', 'Day','Cases_Madrid']],
df_deaths_madrid[['Period', 'Deaths_Madrid']],
on='Period',
how='left')
# Create dataframe Melilla
df_cases_melilla = createDataframeFromJson(raw_cases_melilla)
df_cases_melilla.rename(columns={'Cases': 'Cases_Melilla'}, inplace= True)
df_deaths_melilla = createDataframeFromJson(raw_deaths_melilla)
df_deaths_melilla.rename(columns={'Cases': 'Deaths_Melilla'}, inplace= True)
df_melilla = pd.merge(df_cases_melilla[['Period', 'Day','Cases_Melilla']],
df_deaths_melilla[['Period', 'Deaths_Melilla']],
on='Period',
how='left')
# Create dataframe Murcia
df_cases_murcia = createDataframeFromJson(raw_cases_murcia)
df_cases_murcia.rename(columns={'Cases': 'Cases_Murcia'}, inplace= True)
df_deaths_murcia = createDataframeFromJson(raw_deaths_murcia)
df_deaths_murcia.rename(columns={'Cases': 'Deaths_Murcia'}, inplace= True)
df_murcia = pd.merge(df_cases_murcia[['Period', 'Day','Cases_Murcia']],
df_deaths_murcia[['Period', 'Deaths_Murcia']],
on='Period',
how='left')
# Create dataframe Navarra
df_cases_navarra = createDataframeFromJson(raw_cases_navarra)
df_cases_navarra.rename(columns={'Cases': 'Cases_Navarra'}, inplace= True)
df_deaths_navarra = createDataframeFromJson(raw_deaths_navarra)
df_deaths_navarra.rename(columns={'Cases': 'Deaths_Navarra'}, inplace= True)
df_navarra = pd.merge(df_cases_navarra[['Period', 'Day','Cases_Navarra']],
df_deaths_navarra[['Period', 'Deaths_Navarra']],
on='Period',
how='left')
# Create dataframe Pais Vasco
df_cases_pais_vasco = createDataframeFromJson(raw_cases_pais_vasco)
df_cases_pais_vasco.rename(columns={'Cases': 'Cases_Pais_Vasco'}, inplace= True)
df_deaths_pais_vasco = createDataframeFromJson(raw_deaths_pais_vasco)
df_deaths_pais_vasco.rename(columns={'Cases': 'Deaths_Pais_Vasco'}, inplace= True)
df_pais_vasco = pd.merge(df_cases_pais_vasco[['Period', 'Day','Cases_Pais_Vasco']],
df_deaths_pais_vasco[['Period', 'Deaths_Pais_Vasco']],
on='Period',
how='left')
# Create dataframe global
df_global = df_spain[['Period', 'Day','Cases_Spain','DeathsAccum_Spain', 'RecoveredAccum_Spain']].merge(
df_andalucia[['Period', 'Cases_Andalucia', 'Deaths_Andalucia']], on = 'Period', how = 'left').merge(
df_aragon[['Period', 'Cases_Aragon', 'Deaths_Aragon']], on = 'Period', how = 'left').merge(
df_asturias[['Period', 'Cases_Asturias', 'Deaths_Asturias']], on = 'Period', how = 'left').merge(
df_canarias[['Period', 'Cases_Canarias', 'Deaths_Canarias']], on = 'Period', how = 'left').merge(
df_cantabria[['Period', 'Cases_Cantabria', 'Deaths_Cantabria']], on = 'Period', how = 'left').merge(
df_castilla_y_leon[['Period', 'Cases_Castilla_y_Leon', 'Deaths_Castilla_y_Leon']], on = 'Period', how = 'left').merge(
df_castilla_la_mancha[['Period', 'Cases_Castilla_La_Mancha', 'Deaths_Castilla_La_Mancha']], on = 'Period', how = 'left').merge(
df_catalunya[['Period', 'Cases_Catalunya', 'Deaths_Catalunya']], on = 'Period', how = 'left').merge(
df_ceuta[['Period', 'Cases_Ceuta', 'Deaths_Ceuta']], on = 'Period', how = 'left').merge(
df_comunidad_valenciana[['Period', 'Cases_Comunidad_Valenciana', 'Deaths_Comunidad_Valenciana']], on = 'Period', how = 'left').merge(
df_extremadura[['Period', 'Cases_Extremadura', 'Deaths_Extremadura']], on = 'Period', how = 'left').merge(
df_galicia[['Period', 'Cases_Galicia', 'Deaths_Galicia']], on = 'Period', how = 'left').merge(
df_islas_baleares[['Period', 'Cases_Islas_Baleares', 'Deaths_Islas_Baleares']], on = 'Period', how = 'left').merge(
df_la_rioja[['Period', 'Cases_La_Rioja', 'Deaths_La_Rioja']], on = 'Period', how = 'left').merge(
df_madrid[['Period', 'Cases_Madrid', 'Deaths_Madrid']], on = 'Period', how = 'left').merge(
df_melilla[['Period', 'Cases_Melilla', 'Deaths_Melilla']], on = 'Period', how = 'left').merge(
df_murcia[['Period', 'Cases_Murcia', 'Deaths_Murcia']], on = 'Period', how = 'left').merge(
df_navarra[['Period', 'Cases_Navarra', 'Deaths_Navarra']], on = 'Period', how = 'left').merge(
df_pais_vasco[['Period', 'Cases_Pais_Vasco', 'Deaths_Pais_Vasco']])
# Compute missing fields and metrics
# Deaths and recovered in Spain from accumulative data
df_global['Deaths_Spain'] = fromAccumToSingleValues(df_global['DeathsAccum_Spain'].values)
df_global['Recovered_Spain'] = fromAccumToSingleValues(df_global['RecoveredAccum_Spain'].values)
# Cumulative sum Andalucia
df_global['CasesAccum_Andalucia'] = df_global['Cases_Andalucia'].cumsum()
df_global['DeathsAccum_Andalucia'] = df_global['Deaths_Andalucia'].cumsum()
# Cumulative sum Aragon
df_global['CasesAccum_Aragon'] = df_global['Cases_Aragon'].cumsum()
df_global['DeathsAccum_Aragon'] = df_global['Deaths_Aragon'].cumsum()
# Cumulative sum Asturias
df_global['CasesAccum_Asturias'] = df_global['Cases_Asturias'].cumsum()
df_global['DeathsAccum_Asturias'] = df_global['Deaths_Asturias'].cumsum()
# Cumulative sum Canarias
df_global['CasesAccum_Canarias'] = df_global['Cases_Canarias'].cumsum()
df_global['DeathsAccum_Canarias'] = df_global['Deaths_Canarias'].cumsum()
# Cumulative sum Cantabria
df_global['CasesAccum_Cantabria'] = df_global['Cases_Cantabria'].cumsum()
df_global['DeathsAccum_Cantabria'] = df_global['Deaths_Cantabria'].cumsum()
# Cumulative sum Castilla y Leon
df_global['CasesAccum_Castilla_y_Leon'] = df_global['Cases_Castilla_y_Leon'].cumsum()
df_global['DeathsAccum_Castilla_y_Leon'] = df_global['Deaths_Castilla_y_Leon'].cumsum()
# Cumulative sum Castilla La Mancha
df_global['CasesAccum_Castilla_La_Mancha'] = df_global['Cases_Castilla_La_Mancha'].cumsum()
df_global['DeathsAccum_Castilla_La_Mancha'] = df_global['Deaths_Castilla_La_Mancha'].cumsum()
# Cumulative sum Catalunya
df_global['CasesAccum_Catalunya'] = df_global['Cases_Catalunya'].cumsum()
df_global['DeathsAccum_Catalunya'] = df_global['Deaths_Catalunya'].cumsum()
# Cumulative sum Ceuta
df_global['CasesAccum_Ceuta'] = df_global['Cases_Ceuta'].cumsum()
df_global['DeathsAccum_Ceuta'] = df_global['Deaths_Ceuta'].cumsum()
# Cumulative sum Comunidad Valenciana
df_global['CasesAccum_Comunidad_Valenciana'] = df_global['Cases_Comunidad_Valenciana'].cumsum()
df_global['DeathsAccum_Comunidad_Valenciana'] = df_global['Deaths_Comunidad_Valenciana'].cumsum()
# Cumulative sum Extremadura
df_global['CasesAccum_Extremadura'] = df_global['Cases_Extremadura'].cumsum()
df_global['DeathsAccum_Extremadura'] = df_global['Deaths_Extremadura'].cumsum()
# Cumulative sum Galicia
df_global['CasesAccum_Galicia'] = df_global['Cases_Galicia'].cumsum()
df_global['DeathsAccum_Galicia'] = df_global['Deaths_Galicia'].cumsum()
# Cumulative sum Islas Baleares
df_global['CasesAccum_Islas_Baleares'] = df_global['Cases_Islas_Baleares'].cumsum()
df_global['DeathsAccum_Islas_Baleares'] = df_global['Deaths_Islas_Baleares'].cumsum()
# Cumulative sum La Rioja
df_global['CasesAccum_La_Rioja'] = df_global['Cases_La_Rioja'].cumsum()
df_global['DeathsAccum_La_Rioja'] = df_global['Deaths_La_Rioja'].cumsum()
# Cumulative sum Madrid
df_global['CasesAccum_Madrid'] = df_global['Cases_Madrid'].cumsum()
df_global['DeathsAccum_Madrid'] = df_global['Deaths_Madrid'].cumsum()
# Cumulative sum Melilla
df_global['CasesAccum_Melilla'] = df_global['Cases_Melilla'].cumsum()
df_global['DeathsAccum_Melilla'] = df_global['Deaths_Melilla'].cumsum()
# Cumulative sum Murcia
df_global['CasesAccum_Murcia'] = df_global['Cases_Murcia'].cumsum()
df_global['DeathsAccum_Murcia'] = df_global['Deaths_Murcia'].cumsum()
# Cumulative sum Navarra
df_global['CasesAccum_Navarra'] = df_global['Cases_Navarra'].cumsum()
df_global['DeathsAccum_Navarra'] = df_global['Deaths_Navarra'].cumsum()
# Cumulative sum Pais Vasco
df_global['CasesAccum_Pais_Vasco'] = df_global['Cases_Pais_Vasco'].cumsum()
df_global['DeathsAccum_Pais_Vasco'] = df_global['Deaths_Pais_Vasco'].cumsum()
# Variation rates Andalucia
df_global['Cases_VariationRate_Andalucia'] = df_global['Cases_Andalucia'].pct_change() * 100
df_global['Deaths_VariationRate_Andalucia'] = df_global['Deaths_Andalucia'].pct_change() * 100
df_global['CasesAccum_VariationRate_Andalucia'] = df_global['CasesAccum_Andalucia'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Andalucia'] = df_global['DeathsAccum_Andalucia'].pct_change() * 100
# Variation rates Aragon
df_global['Cases_VariationRate_Aragon'] = df_global['Cases_Aragon'].pct_change() * 100
df_global['Deaths_VariationRate_Aragon'] = df_global['Deaths_Aragon'].pct_change() * 100
df_global['CasesAccum_VariationRate_Aragon'] = df_global['CasesAccum_Aragon'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Aragon'] = df_global['DeathsAccum_Aragon'].pct_change() * 100
# Variation rates Asturias
df_global['Cases_VariationRate_Asturias'] = df_global['Cases_Asturias'].pct_change() * 100
df_global['Deaths_VariationRate_Asturias'] = df_global['Deaths_Asturias'].pct_change() * 100
df_global['CasesAccum_VariationRate_Asturias'] = df_global['CasesAccum_Asturias'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Asturias'] = df_global['DeathsAccum_Asturias'].pct_change() * 100
# Variation rates Canarias
df_global['Cases_VariationRate_Canarias'] = df_global['Cases_Canarias'].pct_change() * 100
df_global['Deaths_VariationRate_Canarias'] = df_global['Deaths_Canarias'].pct_change() * 100
df_global['CasesAccum_VariationRate_Canarias'] = df_global['CasesAccum_Canarias'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Canarias'] = df_global['DeathsAccum_Canarias'].pct_change() * 100
# Variation rates Cantabria
df_global['Cases_VariationRate_Cantabria'] = df_global['Cases_Cantabria'].pct_change() * 100
df_global['Deaths_VariationRate_Cantabria'] = df_global['Deaths_Cantabria'].pct_change() * 100
df_global['CasesAccum_VariationRate_Cantabria'] = df_global['CasesAccum_Cantabria'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Cantabria'] = df_global['DeathsAccum_Cantabria'].pct_change() * 100
# Variation rates Castilla y Leon
df_global['Cases_VariationRate_Castilla_y_Leon'] = df_global['Cases_Castilla_y_Leon'].pct_change() * 100
df_global['Deaths_VariationRate_Castilla_y_Leon'] = df_global['Deaths_Castilla_y_Leon'].pct_change() * 100
df_global['CasesAccum_VariationRate_Castilla_y_Leon'] = df_global['CasesAccum_Castilla_y_Leon'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Castilla_y_Leon'] = df_global['DeathsAccum_Castilla_y_Leon'].pct_change() * 100
# Variation rates Castilla La Mancha
df_global['Cases_VariationRate_Castilla_La_Mancha'] = df_global['Cases_Castilla_La_Mancha'].pct_change() * 100
df_global['Deaths_VariationRate_Castilla_La_Mancha'] = df_global['Deaths_Castilla_La_Mancha'].pct_change() * 100
df_global['CasesAccum_VariationRate_Castilla_La_Mancha'] = df_global['CasesAccum_Castilla_La_Mancha'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Castilla_La_Mancha'] = df_global['DeathsAccum_Castilla_La_Mancha'].pct_change() * 100
# Variation rates Catalunya
df_global['Cases_VariationRate_Catalunya'] = df_global['Cases_Catalunya'].pct_change() * 100
df_global['Deaths_VariationRate_Catalunya'] = df_global['Deaths_Catalunya'].pct_change() * 100
df_global['CasesAccum_VariationRate_Catalunya'] = df_global['CasesAccum_Catalunya'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Catalunya'] = df_global['DeathsAccum_Catalunya'].pct_change() * 100
# Variation rates Ceuta
df_global['Cases_VariationRate_Ceuta'] = df_global['Cases_Ceuta'].pct_change() * 100
df_global['Deaths_VariationRate_Ceuta'] = df_global['Deaths_Ceuta'].pct_change() * 100
df_global['CasesAccum_VariationRate_Ceuta'] = df_global['CasesAccum_Ceuta'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Ceuta'] = df_global['DeathsAccum_Ceuta'].pct_change() * 100
# Variation rates Comunidad Valenciana
df_global['Cases_VariationRate_Comunidad_Valenciana'] = df_global['Cases_Comunidad_Valenciana'].pct_change() * 100
df_global['Deaths_VariationRate_Comunidad_Valenciana'] = df_global['Deaths_Comunidad_Valenciana'].pct_change() * 100
df_global['CasesAccum_VariationRate_Comunidad_Valenciana'] = df_global['CasesAccum_Comunidad_Valenciana'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Comunidad_Valenciana'] = df_global['DeathsAccum_Comunidad_Valenciana'].pct_change() * 100
# Variation rates Extremadura
df_global['Cases_VariationRate_Extremadura'] = df_global['Cases_Extremadura'].pct_change() * 100
df_global['Deaths_VariationRate_Extremadura'] = df_global['Deaths_Extremadura'].pct_change() * 100
df_global['CasesAccum_VariationRate_Extremadura'] = df_global['CasesAccum_Extremadura'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Extremadura'] = df_global['DeathsAccum_Extremadura'].pct_change() * 100
# Variation rates Galicia
df_global['Cases_VariationRate_Galicia'] = df_global['Cases_Galicia'].pct_change() * 100
df_global['Deaths_VariationRate_Galicia'] = df_global['Deaths_Galicia'].pct_change() * 100
df_global['CasesAccum_VariationRate_Galicia'] = df_global['CasesAccum_Galicia'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Galicia'] = df_global['DeathsAccum_Galicia'].pct_change() * 100
# Variation rates Islas Baleares
df_global['Cases_VariationRate_Islas_Baleares'] = df_global['Cases_Islas_Baleares'].pct_change() * 100
df_global['Deaths_VariationRate_Islas_Baleares'] = df_global['Deaths_Islas_Baleares'].pct_change() * 100
df_global['CasesAccum_VariationRate_Islas_Baleares'] = df_global['CasesAccum_Islas_Baleares'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Islas_Baleares'] = df_global['DeathsAccum_Islas_Baleares'].pct_change() * 100
# Variation rates La Rioja
df_global['Cases_VariationRate_La_Rioja'] = df_global['Cases_La_Rioja'].pct_change() * 100
df_global['Deaths_VariationRate_La_Rioja'] = df_global['Deaths_La_Rioja'].pct_change() * 100
df_global['CasesAccum_VariationRate_La_Rioja'] = df_global['CasesAccum_La_Rioja'].pct_change() * 100
df_global['DeathsAccum_VariationRate_La_Rioja'] = df_global['DeathsAccum_La_Rioja'].pct_change() * 100
# Variation rates Madrid
df_global['Cases_VariationRate_Madrid'] = df_global['Cases_Madrid'].pct_change() * 100
df_global['Deaths_VariationRate_Madrid'] = df_global['Deaths_Madrid'].pct_change() * 100
df_global['CasesAccum_VariationRate_Madrid'] = df_global['CasesAccum_Madrid'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Madrid'] = df_global['DeathsAccum_Madrid'].pct_change() * 100
# Variation rates Melilla
df_global['Cases_VariationRate_Melilla'] = df_global['Cases_Melilla'].pct_change() * 100
df_global['Deaths_VariationRate_Melilla'] = df_global['Deaths_Melilla'].pct_change() * 100
df_global['CasesAccum_VariationRate_Melilla'] = df_global['CasesAccum_Melilla'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Melilla'] = df_global['DeathsAccum_Melilla'].pct_change() * 100
# Variation rates Murcia
df_global['Cases_VariationRate_Murcia'] = df_global['Cases_Murcia'].pct_change() * 100
df_global['Deaths_VariationRate_Murcia'] = df_global['Deaths_Murcia'].pct_change() * 100
df_global['CasesAccum_VariationRate_Murcia'] = df_global['CasesAccum_Murcia'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Murcia'] = df_global['DeathsAccum_Murcia'].pct_change() * 100
# Variation rates Navarra
df_global['Cases_VariationRate_Navarra'] = df_global['Cases_Navarra'].pct_change() * 100
df_global['Deaths_VariationRate_Navarra'] = df_global['Deaths_Navarra'].pct_change() * 100
df_global['CasesAccum_VariationRate_Navarra'] = df_global['CasesAccum_Navarra'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Navarra'] = df_global['DeathsAccum_Navarra'].pct_change() * 100
# Variation rates Pais Vasco
df_global['Cases_VariationRate_Pais_Vasco'] = df_global['Cases_Pais_Vasco'].pct_change() * 100
df_global['Deaths_VariationRate_Pais_Vasco'] = df_global['Deaths_Pais_Vasco'].pct_change() * 100
df_global['CasesAccum_VariationRate_Pais_Vasco'] = df_global['CasesAccum_Pais_Vasco'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Pais_Vasco'] = df_global['DeathsAccum_Pais_Vasco'].pct_change() * 100
# Cumulative sum Spain
df_global['CasesAccum_Spain'] = df_global['Cases_Spain'].cumsum()
# Variation rates Spain
df_global['Cases_VariationRate_Spain'] = df_global['Deaths_Spain'].pct_change() * 100
df_global['CasesAccum_VariationRate_Spain'] = df_global['CasesAccum_Spain'].pct_change() * 100
df_global['Deaths_VariationRate_Spain'] = df_global['Deaths_Spain'].pct_change() * 100
df_global['DeathsAccum_VariationRate_Spain'] = df_global['DeathsAccum_Spain'].pct_change() * 100
df_global['Recovered_VariationRate_Spain'] = df_global['Recovered_Spain'].pct_change() * 100
df_global['RecoveredAccum_VariationRate_Spain'] = df_global['RecoveredAccum_Spain'].pct_change() * 100
# mask = (df_global['Day'] > first_day_to_plot)
# df_global = df_global.loc[mask]
df_global.head()
return df_global
@st.cache
def createDataframeFromJson(raw_data):
dict_months = {'Enero':1, 'Febrero':2, 'Marzo':3, 'Abril':4, 'Mayo':5, 'Junio':6, 'Julio':7, 'Agosto':8, 'Septiembre':9, 'Octubre':10, 'Noviembre':11, 'Diciembre':12, 'enero':1, 'febrero':2, 'marzo':3, 'abril':4, 'mayo':5, 'junio':6, 'julio':7, 'agosto':8, 'septiembre':9, 'octubre':10, 'noviembre':11, 'diciembre':12}
number_days_monitored = len(raw_data['Respuesta'][0]['Metricas'][0]['Datos'])
list_cases_dates = []
for day in range(number_days_monitored):
agno = raw_data['Respuesta'][0]['Metricas'][0]['Datos'][day]['Agno']
date = raw_data['Respuesta'][0]['Metricas'][0]['Datos'][day]['Parametro']
cases = raw_data['Respuesta'][0]['Metricas'][0]['Datos'][day]['Valor']
list_cases_dates.append([agno, date, cases])
df0 = pd.DataFrame(list_cases_dates, columns = ['Agno', 'Date' , 'Cases'])
df0['Date'] = df0['Date'].str.replace(" de ", '-')
df0['Date'] = df0['Date'].str.replace("Día ", "")
df0[['Day', 'Month']] = df0['Date'].str.extract(r'([\d]{1,2})-(.*)')
df0.replace({'Month': dict_months}, inplace= True)
df0['Period'] = df0['Agno'].astype(str) + '/' + df0['Month'].astype(str) + '/' + df0['Day'].astype(str)
if (not df0['Month'].astype(str).any() and not df0['Day'].astype(str).any()):
df0['Period'] = df0['Period'].apply(lambda x: datetime.strptime(x, '%Y/%m/%d'))
df0.drop(['Agno', 'Date', 'Day', 'Month'], axis=1, inplace = True)
df0.sort_values(by=['Period'], inplace = True)
df0['Day'] = range(number_days_monitored)
return df0
@st.cache
def fromAccumToSingleValues(x):
y = np.zeros(len(x))
for i in np.arange(len(x)-1,0,-1):
y[i] = x[i] - x[i-1]
return y
def createOverviewPlot(df_global, yCases, yDeaths, yRecovered, title, yScale, speed):
if yRecovered != 'null':
chart_data = pd.DataFrame({
'Cases': df_global[yCases],
'Death': df_global[yDeaths],
'Recovered': df_global[yRecovered]
})
else:
chart_data = pd.DataFrame({
'Cases': df_global[yCases],
'Death': df_global[yDeaths]
})
chart_data = chart_data.set_index(df_global['Period'])
st.write("### " + title, chart_data.sort_index())
chart = st.line_chart(chart_data.iloc[:1])
for i in range(2,df_global['Day'].count()):
chart.add_rows(chart_data.iloc[:i])
time.sleep(speed)
chart.add_rows(chart_data.tail(1))
# Dictionaries and constants
day_init_quarantine = 44
day14_init_quarantine = 59
day14_strict_quarantine = 73
first_day_to_plot = 33
last_day_to_plot = 75
if yScale == 'log':
plt.figure(figsize=(20,10))
plt.plot(df_global['Day'], df_global[yCases], color = 'r', marker='o', linestyle='solid', linewidth=2, markersize=5, label='Cases')
plt.plot(df_global['Day'], df_global[yDeaths], color = 'k', marker='o', linestyle='solid', linewidth=2, markersize=5, label='Deaths')
if yRecovered != 'null':
plt.plot(df_global['Day'], df_global[yRecovered], color = 'g', marker='o', linestyle='solid', linewidth=2, markersize=5, label='Recovered')
plt.title(title + ' (log scale)', fontsize = 20)
plt.xlabel('Day', fontsize=15)
plt.yscale(yScale)
plt.axvline(day_init_quarantine, 0, 1, color = 'g', alpha = .5, linewidth=2, linestyle = 'dashed',label = 'Day 0 "soft" quarantine')
plt.axvline(day14_init_quarantine, 0, 1, color = 'r', alpha = .5, linewidth=2, linestyle = 'dashed',label = 'Day 0 "strict" quarantine')
plt.axvspan(day_init_quarantine, day14_init_quarantine, facecolor='g', alpha=0.15)
plt.axvspan(day14_init_quarantine, day14_strict_quarantine, facecolor='r', alpha=0.15)
plt.xlim(first_day_to_plot,last_day_to_plot)
plt.legend(fontsize=12)
st.pyplot()
def createSinglePlot(df_global, xData, yData, labelData, title, yLabel, yScale, speed):
# Dictionaries and constants
day_init_quarantine = 44
day14_init_quarantine = 59
day14_strict_quarantine = 73
first_day_to_plot = 33
last_day_to_plot = 75
datas = pd.DataFrame({
yData: df_global[yData]
})
datas = datas.set_index(df_global['Period'])
st.write("### " + title, datas.sort_index())
lastRows = datas.iloc[:1]
chart = st.line_chart(lastRows)
for i in range(2,df_global['Day'].count()):
lastRows = datas.iloc[:i]
chart.add_rows(lastRows)
time.sleep(speed)
chart.add_rows(datas[yData].tail(1))
if yScale == 'log':
title = title + ' (log scale)'
if yScale == 'log' or yLabel == 'Variation rate (%)':
plt.figure(figsize=(20,10))
plt.plot(df_global[xData], df_global[yData], color = 'navy', marker='o', linestyle='dashed',
linewidth=2, markersize=12, label=labelData)
plt.axvline(day_init_quarantine, 0, 1, color = 'g', alpha = .5, label = 'Day 0 "soft" quarantine')
plt.axvline(day14_init_quarantine, 0, 1, color = 'r', alpha = .5, label = 'Day 0 "strict" quarantine')
plt.axvspan(day_init_quarantine, day14_init_quarantine, facecolor='g', alpha=0.15)
plt.axvspan(day14_init_quarantine, day14_strict_quarantine, facecolor='r', alpha=0.15)
plt.xlim(first_day_to_plot,last_day_to_plot)
plt.title(title, fontsize = 24)
plt.xlabel('Day', fontsize=20)
plt.ylabel(yLabel, fontsize=20)
plt.legend(fontsize=15)
plt.yscale(yScale)
st.pyplot()
def main():
TodaysDate = time.strftime("%d-%m-%Y")
speed = st.sidebar.slider("Speed of graph display", 0.00, 2.0, 0.05)
st.sidebar.markdown('### Spain and CCAA')
option = st.sidebar.selectbox(
'What region do you want to see?',
(
'Spain',
'Andalucia',
'Aragon',
'Asturias',
'Canarias',
'Cantabria',
'Castilla y Leon',
'Castilla La Mancha',
'Catalunya',
'Ceuta',
'Comunidad Valenciana',
'Extremadura',
'Galicia',
'Islas Baleares',
'La Rioja',
'Madrid',
'Melilla',
'Murcia',
'Navarra',
'Pais Vasco'
)
)
st.title('COVID-19 in Spain and CCAA on ' + TodaysDate)
df_global = getData()
st.sidebar.markdown('### Graphics')
if (option == 'Spain'):
page = st.sidebar.selectbox("Choose a page", [
'Table with the results obtained',
'Spain: Cases, Deaths and Recovered',
'Daily cases - Spain',
'Accumulated daily cases - Spain',
'Variation rate (daily cases) - Spain',
'Variation rate (accumulated daily cases) - Spain',
'Daily deaths - Spain',
'Accumulated daily deaths - Spain',
'Variation rate (daily deaths) - Spain',
'Variation rate (accumulated daily deaths) - Spain',
'Daily recovered - Spain',
'Accumulated daily recovered - Spain',
'Variation rate (daily recovered) - Spain',
'Variation rate (accumulated daily recovered) - Spain'
])
elif (option == 'Andalucia'):
page = st.sidebar.selectbox("Choose a page", [
'Andalucia: Cases and Deaths',
'Daily cases - Andalucia',
'Accumulated daily cases - Andalucia',
'Variation rate (daily cases) - Andalucia',
'Variation rate (accumulated daily cases) - Andalucia',
'Daily deaths - Andalucia',
'Accumulated daily deaths - Andalucia',
'Variation rate (daily deaths) - Andalucia',
'Variation rate (accumulated daily deaths) - Andalucia'
])
elif (option == 'Aragon'):
page = st.sidebar.selectbox("Choose a page", [
'Aragon: Cases and Deaths',
'Daily cases - Aragon',
'Accumulated daily cases - Aragon',
'Variation rate (daily cases) - Aragon',
'Variation rate (accumulated daily cases) - Aragon',
'Daily deaths - Aragon',
'Accumulated daily deaths - Aragon',
'Variation rate (daily deaths) - Aragon',
'Variation rate (accumulated daily deaths) - Aragon'
])
elif (option == 'Asturias'):
page = st.sidebar.selectbox("Choose a page", [
'Asturias: Cases and Deaths',
'Daily cases - Asturias',
'Accumulated daily cases - Asturias',
'Variation rate (daily cases) - Asturias',
'Variation rate (accumulated daily cases) - Asturias',
'Daily deaths - Asturias',
'Accumulated daily deaths - Asturias',
'Variation rate (daily deaths) - Asturias',
'Variation rate (accumulated daily deaths) - Asturias'
])
elif (option == 'Canarias'):
page = st.sidebar.selectbox("Choose a page", [
'Canarias: Cases and Deaths',
'Daily cases - Canarias',
'Accumulated daily cases - Canarias',
'Variation rate (daily cases) - Canarias',
'Variation rate (accumulated daily cases) - Canarias',
'Daily deaths - Canarias',
'Accumulated daily deaths - Canarias',
'Variation rate (daily deaths) - Canarias',
'Variation rate (accumulated daily deaths) - Canarias'
])
elif (option == 'Cantabria'):
page = st.sidebar.selectbox("Choose a page", [
'Cantabria: Cases and Deaths',
'Daily cases - Cantabria',
'Accumulated daily cases - Cantabria',
'Variation rate (daily cases) - Cantabria',
'Variation rate (accumulated daily cases) - Cantabria',
'Daily deaths - Cantabria',
'Accumulated daily deaths - Cantabria',
'Variation rate (daily deaths) - Cantabria',
'Variation rate (accumulated daily deaths) - Cantabria'
])
elif (option == 'Castilla y Leon'):
page = st.sidebar.selectbox("Choose a page", [
'Castilla y Leon: Cases and Deaths',
'Daily cases - Castilla y Leon',
'Accumulated daily cases - Castilla y Leon',
'Variation rate (daily cases) - Castilla y Leon',
'Variation rate (accumulated daily cases) - Castilla y Leon',
'Daily deaths - Castilla y Leon',
'Accumulated daily deaths - Castilla y Leon',
'Variation rate (daily deaths) - Castilla y Leon',
'Variation rate (accumulated daily deaths) - Castilla y Leon'
])
elif (option == 'Castilla La Mancha'):
page = st.sidebar.selectbox("Choose a page", [
'Castilla La Mancha: Cases and Deaths',
'Daily cases - Castilla La Mancha',
'Accumulated daily cases - Castilla La Mancha',
'Variation rate (daily cases) - Castilla La Mancha',