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pandas date_range

index = pd.date_range(start='2020-8-15', end = '2021-8-11', freq='M')
print(index)

>>>DatetimeIndex(['2020-08-31', '2020-09-30', '2020-10-31', '2020-11-30',
                 '2020-12-31', '2021-01-31', '2021-02-28', '2021-03-31',
                 '2021-04-30', '2021-05-31', '2021-06-30', '2021-07-31'],
                 dtype='datetime64[ns]', freq='M')
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pandas date range

import pandas as pd
date1 = '2011-05-03'
date2 = '2011-05-10'
mydates = pd.date_range(date1, date2).tolist()
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www.pd.date_range

>>> pd.date_range(start='1/1/2018', periods=5, freq='3M')
DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',
               '2019-01-31'],
              dtype='datetime64[ns]', freq='3M')
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www.pd.date_range

>>> pd.date_range(start='1/1/2018', periods=8)
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
               '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
              dtype='datetime64[ns]', freq='D')
Comment

www.pd.date_range

>>> pd.date_range(start='1/1/2018', end='1/08/2018')
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
               '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
              dtype='datetime64[ns]', freq='D')
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