init_europe.py

import pandas as pd
import datetime

# Use this for European countries only. Other countries appear to be either unreliable or have a lot of holes in their data.
def init_jrc():
    df = pd.read_csv('https://raw.githubusercontent.com/ec-jrc/COVID-19/master/data-by-region/jrc-covid-19-all-days-by-regions.csv', error_bad_lines=False)

# JRC includes Germany data, but not the same subsets
def init_germany():
    pass

# JRC includes UK data, but not the same subsets
def init_uk():
    pass

# JRC includes Italy data, but not the same subsets
def init_italy():
    df_total = pd.read_csv('https://raw.githubusercontent.com/RamiKrispin/covid19Italy/master/csv/italy_total.csv', error_bad_lines=False)
    df_region = pd.read_csv('https://raw.githubusercontent.com/RamiKrispin/covid19Italy/master/csv/italy_region.csv', error_bad_lines=False)
    df_subregion = pd.read_csv('https://raw.githubusercontent.com/RamiKrispin/covid19Italy/master/csv/italy_province.csv', error_bad_lines=False)

# Starts on 3/3/2020.
def init_ukraine():
    dt = datetime.datetime(2020, 3, 3)
    while (True):
        csv_name = 'https://raw.githubusercontent.com/dmytro-derkach/covid-19-ukraine/master/daily_reports/' + ('0' if dt.month < 10 else '')  + str(dt.month) + '-' + ('0' if dt.day < 10 else '') + str(dt.day) + '-' + str(dt.year) + '.csv'
        print(csv_name)
        try:
            df = pd.read_csv(csv_name, error_bad_lines=False)
        except:
            break
        dt += datetime.timedelta(days=1)

def init_france():
    pass

init_ukraine()