afaik, there's no built-in functionality for this. But you can create your own. For example for formatting to a string in H:M:S format or splitting the timedelta into separate columns hours, minutes and seconds. Ex:
import pandas as pd
df = pd.DataFrame({"td": pd.to_timedelta(["56 days 04:36:02","66 days 17:27:10","252 days 05:52:20"])})
def td_to_hmsstr(td):
"""
convert a timedelta object td to a string in HH:MM:SS format.
"""
hours, remainder = divmod(td.total_seconds(), 3600)
minutes, seconds = divmod(remainder, 60)
return f'{int(hours):02}:{int(minutes):02}:{int(seconds):02}'
df['H:M:S'] = df['td'].apply(td_to_hmsstr)
def td_to_hmstuple(td):
"""
convert a timedelta object td to a tuple (hours, minutes, seconds).
"""
hours, remainder = divmod(td.total_seconds(), 3600)
minutes, seconds = divmod(remainder, 60)
return tuple(map(int, (hours, minutes, seconds)))
df = pd.concat([df, pd.DataFrame(df['td'].apply(td_to_hmstuple).to_list(),
columns=['hours', 'minutes', 'seconds'])], axis=1)
df
# td H:M:S hours minutes seconds
# 0 56 days 04:36:02 1348:36:02 1348 36 2
# 1 66 days 17:27:10 1601:27:10 1601 27 10
# 2 252 days 05:52:20 6053:52:20 6053 52 20