Subtract smaller time intervals from a big time interval range

Question

• I want to obtain the time intervals subtracting the time windows from the timeline. Is there an efficient way using pandas Intervals and periods.

• I tried to looking for a solution using pandas periods and Intervals class on SO but could not found such maybe because Intervals are immutable objects in pandas (ref https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Interval.html#pandas-interval).

• I found a relevant solution using 3rd party library Subtract Overlaps Between Two Ranges Without Sets But it does not particularly deals using datetime or Timestamp objects.

import pandas as pd

start = pd.Timestamp('00:00:00')
end = pd.Timestamp('23:59:00')

# input
big_time_interval = pd.Interval(start, end)

smaller_time_intervals_to_subtract = [
    (pd.Timestamp('01:00:00'), pd.Timestamp('02:00:00')),
    (pd.Timestamp('16:00:00'), pd.Timestamp('17:00:00'))]


# output
_output_time_intervals = [
    (pd.Timestamp('00:00:00'), pd.Timestamp('01:00:00')),
    (pd.Timestamp('02:00:00'), pd.Timestamp('16:00:00')),
    (pd.Timestamp('17:00:00'), pd.Timestamp('23:59:00'))]

output_time_intervals = list(
    map(lambda interval: pd.Interval(*interval), _output_time_intervals))

Any help would be appreciated.