How can I split a DataFrame column with datetimes into two columns: one with dates and one with times of the day?

Question

I have a data frame called data, which has a column Dates like this,

                 Dates
0  2015-05-13 23:53:00
1  2015-05-13 23         


        

Answer 1

If your series is s, then this will create such a DataFrame:

pd.DataFrame({
    'date': pd.to_datetime(s).dt.date,
    'time': pd.to_datetime(s).dt.time})

as once you convert the series using pd.to_datetime, then the dt member can be used to extract the parts.

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Example

import pandas as pd

s = pd.Series(['2015-05-13 23:53:00', '2015-05-13 23:53:00'])
>>> pd.DataFrame({
    'date': pd.to_datetime(s).dt.date,
    'time': pd.to_datetime(s).dt.time})
    date    time
0   2015-05-13  23:53:00
1   2015-05-13  23:53:00