-
-
Save fmasanori/f1d28997255982943ee344c14b9045ce to your computer and use it in GitHub Desktop.
Function to create COVID-19 dataset from JHU github
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import datetime | |
def get_covid_data_jhu(dt_ini, dt_fim, us_columns = True, country = None): | |
date_range = pd.date_range(start = dt_ini, end = dt_fim).to_list() | |
string_range = [str(d.date().strftime("%m-%d-%Y")) for d in date_range] | |
full_data_list = [] | |
for dat in string_range: | |
url = f"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/{dat}.csv" | |
current_data = pd.read_csv(url) | |
full_data_list.append(current_data) | |
full_df = pd.concat(full_data_list) | |
if country: | |
full_df = full_df[full_df['Country_Region'].isin(country)] | |
if not us_columns: | |
full_df.drop(full_df.columns[0:3], axis = 1, inplace = True) | |
return full_df | |
# Examples | |
print( | |
get_covid_data_jhu("2020-05-24", "2020-05-27", us_columns = True, country = ['US', 'Brazil']) | |
) | |
print( | |
get_covid_data_jhu("2020-05-24", "2020-05-27", us_columns = True, country = ['Brazil']) | |
) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment