at_time(self: 'NDFrameT', time, asof: 'bool_t' = False, axis=None) -> 'NDFrameT'
If the index is not a DatetimeIndex
Select values at particular time of day (e.g., 9:30AM).
DatetimeIndex.indexer_at_time
Get just the index locations for values at particular time of the day.
between_time
Select values between particular times of the day.
first
Select initial periods of time series based on a date offset.
last
Select final periods of time series based on a date offset.
>>> i = pd.date_range('2018-04-09', periods=4, freq='12H')This example is valid syntax, but we were not able to check execution
... ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
... ts A 2018-04-09 00:00:00 1 2018-04-09 12:00:00 2 2018-04-10 00:00:00 3 2018-04-10 12:00:00 4
>>> ts.at_time('12:00') A 2018-04-09 12:00:00 2 2018-04-10 12:00:00 4See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.generic.NDFrame.between_time
pandas.core.generic.NDFrame.last
pandas.core.generic.NDFrame.first
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