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')how to slice dataframe based on daterange in pandas
In [15]: df = pd.DataFrame([1, 2, 3], index=[dt.datetime(2013, 1, 1), dt.datetime(2013, 1, 3), dt.datetime(2013, 1, 5)])
In [16]: df
Out[16]:
0
2013-01-01 1
2013-01-03 2
2013-01-05 3
In [22]: start = df.index.searchsorted(dt.datetime(2013, 1, 2))
In [23]: end = df.index.searchsorted(dt.datetime(2013, 1, 4))
In [24]: df.iloc[start:end]
Out[24]:
0
2013-01-03 2Copyright © 2021 Codeinu
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