Myujth

I have the following list of list:

[[Timestamp('2018-04-07 00:00:00'), Timestamp('2018-07-07 00:00:00'),Timestamp('2020-04-07 00:00:00')], [Timestamp('2018-04-07 00:00:00'),Timestamp('2018-10-07 00:00:00'),Timestamp('2018-12-07 00:00:00'),Timestamp('2021-04-07 00:00:00'),Timestamp('2022-04-07 00:00:00'),Timestamp('2023-04-07 00:00:00')]

And my question is if it is possible filter the list of lists by another date. For example:
If I choose this date:

datetime.datetime(2019, 1, 26, 0, 0)

Is there a way to filter the list of lists to just taking those dates that are higher than the date I choose and also the last one before my date?
For example for the first list of the lists I want to keep the values:

[Timestamp('2018-07-07 00:00:00'),Timestamp('2020-04-07 00:00:00')]

And for the second list of the list of lists:

[Timestamp('2018-12-07 00:00:00'),Timestamp('2021-04-07 00:00:00'),Timestamp('2022-04-07 00:00:00'),Timestamp('2023-04-07 00:00:00')] 

Something like this?

import datetime
from pandas import Timestamp


# List of Timestamps
list_of_dates = [[Timestamp('2018-04-07 00:00:00'), Timestamp('2018-07-07 00:00:00'), Timestamp('2020-04-07 00:00:00')], [Timestamp('2018-04-07 00:00:00'), Timestamp('2018-10-07 00:00:00'), Timestamp('2018-12-07 00:00:00'), Timestamp('2021-04-07 00:00:00'), Timestamp('2022-04-07 00:00:00'), Timestamp('2023-04-07 00:00:00')]]

# Target date that we use as filter
target_date = datetime.datetime(2019, 1, 26, 0, 0)

def filter_dates(date_list, target_date):
 """Filter given timestamps according to target date.

 Keep last date before target date and all future dates after target date."""

 # Initialise return list
 filtered_dates = 

 # Iterate over list of lists
 for dates in date_list:

 # Use list comprehension to filter dates that are on either sides of the target date
 dates_before_target_date = [date for date in dates if date < target_date]
 dates_after_target_date = [date for date in dates if date > target_date]

 # Keep last date before the target date and all future dates
 filtered_dates.append([dates_before_target_date[-1]] + dates_after_target_date)

 return filtered_dates

filtered_dates = filter_dates(list_of_dates, target_date)
print(filtered_dates)

This produces

[
 [Timestamp('2018-07-07 00:00:00'), Timestamp('2020-04-07 00:00:00')],
 [Timestamp('2018-12-07 00:00:00'), Timestamp('2021-04-07 00:00:00'), Timestamp('2022-04-07 00:00:00'), Timestamp('2023-04-07 00:00:00')]
]