Getting data about Coronavirus with Python in Italy

pythonprogramming

Here are the data: clike here.

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

 

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