Data¶
Hopkins¶
- aftercovid.data.download_hopkins_data(kind='deaths', country='France')[source]¶
Downloads data from CSSE Johns Hopkins for a particular country.
- Parameters:
kind – ‘deaths’, ‘confirmed’ or ‘recovered’
country – ‘France’, ‘UK’, …
- Returns:
dataframe
<<<
from aftercovid.data import download_hopkins_data df = download_hopkins_data() print(df.tail())
>>>
deaths 3/5/23 161407 3/6/23 161450 3/7/23 161474 3/8/23 161501 3/9/23 161512
- aftercovid.data.extract_hopkins_data(kinds=('deaths', 'confirmed', 'recovered'), country='France', delay=21, raw=False)[source]¶
Downloads data from CSSE Johns Hopkins and infers the number of current positive cases in a very simple way.
- Parameters:
kinds – series to extracts, by default (‘deaths’, ‘confirmed’, ‘recovered’)
country – ‘France’, ‘UK’, …
delay – the function assumes after 21 days, a confirmed case moves is not positive anymore
raw – if True, returns the raw data as well
- Returns:
dataframe
<<<
from aftercovid.data import extract_hopkins_data df = extract_hopkins_data() print(df.tail())
>>>
deaths confirmed recovered infected safe 3/5/23 161407 38591184 38356208 73569 28408816.0 3/6/23 161450 38599330 38361829 76051 28400670.0 3/7/23 161474 38606393 38366780 78139 28393607.0 3/8/23 161501 38612201 38370717 79983 28387799.0 3/9/23 161512 38618509 38374711 82286 28381491.0
INSEE¶
- aftercovid.data.data_covid_france_departments_hospitals(cache='covid_france_hosp', metropole=False)[source]¶
Retrieves data from Données hospitalières relatives à l’épidémie de COVID-19.
- Parameters:
cache – cache name
metropole – only for the metropole
- Returns:
dataframe
- aftercovid.data.data_france_departments(cache='dep_france', metropole=False)[source]¶
Retrieves data from Contours géographiques des départements.
- Parameters:
metropole – only for the metropole
cache – cache name
- Returns:
geodataframe
Temperatures¶
- aftercovid.data.temperatures()¶
Loads data about temperatures.