python数据处理——选择一段时间内的数据

链接：https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.between_time.html

DataFrame.between_time(start_time,?end_time,?include_start=True,?include_end=True,?axis=None)[source]

Select values between particular times of the day (e.g., 9:00-9:30 AM).

By setting?start_time?to be later than?end_time, you can get the times that are?not?between the two times.

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See also

at_time

Select values at a particular time 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.

DatetimeIndex.indexer_between_time

Get just the index locations for values between particular times of the day.

Examples

>>> i = pd.date_range(‘2018-04-09‘, periods=4, freq=‘1D20min‘)
>>> ts = pd.DataFrame({‘A‘: [1,2,3,4]}, index=i)
>>> ts
                     A
2018-04-09 00:00:00  1
2018-04-10 00:20:00  2
2018-04-11 00:40:00  3
2018-04-12 01:00:00  4



>>> ts.between_time(‘0:15‘, ‘0:45‘)
                     A
2018-04-10 00:20:00  2
2018-04-11 00:40:00  3

You get the times that are not between two times by setting start_time later than end_time:

>>> ts.between_time(‘0:45‘, ‘0:15‘)
                     A
2018-04-09 00:00:00  1
2018-04-12 01:00:00  4

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