panda get rows with date range
#greater than the start date and smaller than the end date
mask = (df['date'] > start_date) & (df['date'] <= end_date)
df = df.loc[mask]panda get rows with date range
#greater than the start date and smaller than the end date
mask = (df['date'] > start_date) & (df['date'] <= end_date)
df = df.loc[mask]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')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')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')Copyright © 2021 Codeinu
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