I have a (pandas) Series of numbers like
20170809
20181231
I want to convert them into datetime objects. this is trivial with an apply wrapped around datetime.strptime(x, '%Y%M%d')
. However, datetime is adding on hours that are different. For instance:
20011231 2001-01-31 00:12:00
20050102 2005-01-02 00:01:00
20000815 2000-01-15 00:08:00
How can I force strptime to assume the same hour/minute/second for every string?
The month is m
. The capital M
means minute.
You do:
>>> datetime.strptime('20011231', '%Y%M%d')
datetime.datetime(2001, 1, 31, 0, 12)
but need to do:
>>> datetime.strptime('20011231', '%Y%m%d')
datetime.datetime(2001, 12, 31, 0, 0)