| 54 | df = pd.read_csv(url, usecols=['location', 'date', 'total_cases']) |
| 55 | return df[df.location == 'World'].set_index('date').total_cases |
| 56 | def scrape_yahoo(slug): |
| 57 | url = f'https://query1.finance.yahoo.com/v7/finance/download/{slug}' + \ |
| 58 | '?period1=1579651200&period2=9999999999&interval=1d&events=history' |
| 59 | df = pd.read_csv(url, usecols=['Date', 'Close']) |
| 60 | return df.set_index('Date').Close |
| 61 | out = [scrape_covid(), scrape_yahoo('BTC-USD'), scrape_yahoo('GC=F'), |
| 62 | scrape_yahoo('^DJI')] |
| 63 | return map(pd.Series.rename, out, ['Total Cases', 'Bitcoin', 'Gold', 'Dow Jones']) |