pandas.DataFrame.between_time() Function with example
pandas.DataFrame.between_time: This function returns select values between particular times of the day (e.g., 9:00-9:30 AM).
Syntax: DataFrame.between_time(start_time, end_time, include_start=True, include_end=True, axis=None)
By setting start_time to be later than end_time, you can get the times that are not between the two times.
Parameters:
start_time : datetime.time or string
end_time : datetime.time or string
include_start : boolean, default True
include_end : boolean, default True
axis : {0 or ‘index’, 1 or ‘columns’}, default 0
Returns:
values_between_time : same type as caller
Raises:
TypeError
If the index is not a DatetimeIndex
#example program on pandas.DataFrame.between_time() Function
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.between_time('12:00', '13:00'))
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
