Splitting timestamp column into separate date and time columns

Question

I have a pandas dataframe with over 1000 timestamps (below) that I would like to loop through:

2016-02-22 14:59:44.561776

I\'m having a har

Answer 1

Try

s = '2016-02-22 14:59:44.561776'

date,time = s.split()

then convert time as needed.

If you want to further split the time,

hour, minute, second = time.split(':')