Python: reduce precision pandas timestamp dataframe

Question

Hello I have the following dataframe

df = 

       Record_ID       Time
        94704   2014-03-10 07:19:19.647342
        94705   2014-03-10 07:21:44.479363         


        

Answer 1

If you really must remove the microsecond part of the datetime, you can use the Timestamp.replace method along with Series.apply method to apply it across the series , to replace the microsecond part with 0. Example -

df['Time'] = df['Time'].apply(lambda x: x.replace(microsecond=0))

Demo -

In [25]: df
Out[25]:
   Record_ID                       Time
0      94704 2014-03-10 07:19:19.647342
1      94705 2014-03-10 07:21:44.479363
2      94706 2014-03-10 07:21:45.479581
3      94707 2014-03-10 07:21:54.481588
4      94708 2014-03-10 07:21:55.481804

In [26]: type(df['Time'][0])
Out[26]: pandas.tslib.Timestamp

In [27]: df['Time'] = df['Time'].apply(lambda x: x.replace(microsecond=0))

In [28]: df
Out[28]:
   Record_ID                Time
0      94704 2014-03-10 07:19:19
1      94705 2014-03-10 07:21:44
2      94706 2014-03-10 07:21:45
3      94707 2014-03-10 07:21:54
4      94708 2014-03-10 07:21:55