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| datesformatted = [datetime.strptime(da, '%m/%d/%y') | |
| for da in corona_cases_df.columns.values] | |
| daterange = pd.DatetimeIndex(datesformatted) | |
| daterange | |
| >>> | |
| DatetimeIndex(['2020-01-22', '2020-01-23', '2020-01-24', '2020-01-25', | |
| '2020-01-26', '2020-01-27', '2020-01-28', '2020-01-29', | |
| '2020-01-30', '2020-01-31', '2020-02-01', '2020-02-02', | |
| '2020-02-03', '2020-02-04', '2020-02-05', '2020-02-06', | |
| '2020-02-07', '2020-02-08', '2020-02-09', '2020-02-10', | |
| '2020-02-11', '2020-02-12', '2020-02-13', '2020-02-14', | |
| '2020-02-15', '2020-02-16', '2020-02-17', '2020-02-18', | |
| '2020-02-19', '2020-02-20', '2020-02-21', '2020-02-22', | |
| '2020-02-23', '2020-02-24', '2020-02-25', '2020-02-26', | |
| '2020-02-27', '2020-02-28', '2020-02-29', '2020-03-01', | |
| '2020-03-02', '2020-03-03', '2020-03-04', '2020-03-05', | |
| '2020-03-06', '2020-03-07', '2020-03-08', '2020-03-09', | |
| '2020-03-10', '2020-03-11', '2020-03-12', '2020-03-13', | |
| '2020-03-14', '2020-03-15', '2020-03-16'], | |
| dtype='datetime64[ns]', freq=None) | |
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