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 type of column Dates is string, convert it by to_datetime. Then you can use dt.date, dt.time and last drop original column Dates:

print df['Dates'].dtypes
object
print type(df.at[0, 'Dates'])


df['Dates'] = pd.to_datetime(df['Dates'])

print df['Dates'].dtypes
datetime64[ns]

print df
                Dates
0 2015-05-13 23:53:00
1 2015-05-13 23:53:00
2 2015-05-13 23:33:00
3 2015-05-13 23:30:00
4 2015-05-13 23:30:00

df['Date'] = df['Dates'].dt.date
df['Time'] = df['Dates'].dt.time

df = df.drop('Dates', axis=1)
print df
         Date      Time
0  2015-05-13  23:53:00
1  2015-05-13  23:53:00
2  2015-05-13  23:33:00
3  2015-05-13  23:30:00
4  2015-05-13  23:30:00