The code to look at the data about coronavirus in Italy are here:
import pandas as pd
def check(what, url):
df = pd.read_csv(url, error_bad_lines=False)
print(what)
print(df.loc[df["Country/Region"]=="Italy"])
check("Confirmed", "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv")
check("Recovered", "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv")
check("Deaths", "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Deaths.csv")
The output (at 26/02/2020) is this.
Confirmed Province/State Country/Region Lat ... 2/23/20 2/24/20 2/25/20 60 NaN Italy 41.8719 ... 155 229 322 [1 rows x 39 columns] Recovered Province/State Country/Region Lat ... 2/23/20 2/24/20 2/25/20 60 NaN Italy 41.8719 ... 2 1 1 [1 rows x 39 columns] Deaths Province/State Country/Region Lat ... 2/23/20 2/24/20 2/25/20 60 NaN Italy 41.8719 ... 3 7 10 [1 rows x 39 columns] >>>
More clear view of the data
import pandas as pd
from datetime import datetime
yesterday = str(datetime.today().day-1)
month = str(datetime.today().month)
print(f"{yesterday}/{month}")
def check(what, day):
url = f"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-{what}.csv"
df = pd.read_csv(url, error_bad_lines=False)
print(what, end=" ")
result = df.loc[df["Country/Region"]=="Italy"][f"{month}/{day}/20"]
print(list(result))
what = "Confirmed", "Recovered", "Deaths"
for w in what:
check(w, yesterday)
output
25/2 Confirmed [322] Recovered [1] Deaths [10]
Check the Jupyter notebook with the code for coronavirus
Check the my jupyter lab notebook with this code
Twitter: @pythonprogrammi - python_pygame
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