pandas.DataFrame.at_time() Function with example

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pandas.DataFrame.at_time() Fucntin : Select values at particular time of day (e.g. 9:30AM).
Syntax: DataFrame.at_time(time, asof=False, axis=None)

Parameters:
time : datetime.time or string
axis : {0 or ‘index’, 1 or ‘columns’}, default 0
New in version 0.24.0.

Returns:
values_at_time : same type as caller
Raises:
TypeError
If the index is not a DatetimeIndex



import pandas as pd
i = pd.date_range('2019-03-20', periods=4, freq='12H')
ts = pd.DataFrame({'A': [1,2,3,4]}, index=i)
print(ts)
print(ts.at_time('12:00'))

Output:

                     A
2019-03-20 00:00:00  1
2019-03-20 12:00:00  2
2019-03-21 00:00:00  3
2019-03-21 12:00:00  4
                     A
2019-03-20 12:00:00  2
2019-03-21 12:00:00  4