pandas.to_datetime: Combine data from 2 columns

[ju21878436312]

I would like to combine data from 2 columns

The file "minimal_in.csv" is the following:

Year,Time
29.01.2001,13:31:24
29.01.2001,13:31:27
29.01.2001,13:31:29
29.01.2001,13:31:32
29.01.2001,13:31:34

I have first tried:

import pandas as pd
from datetime import datetime, timedelta

import pandas as pd

df = pd.read_csv('minimal_in.csv')
df.head(5)

df[['Year','Time']].apply(pd.to_datetime)
df.dtypes

or alternatively:

df_combine = df['Year','Time']
pd.to_datetime(df_combine)

Has someone an idea? I would be very grateful

[perfringo]

Something like below?

import pandas as pd

df = pd.read_csv('minimal_in.csv')

df['Datetime'] = pd.to_datetime(df['Year'] + df['Time'], format='%d.%m.%Y%H:%M:%S')

df will look like:

Output:
        Year      Time            Datetime
0  29.01.2001  13:31:24 2001-01-29 13:31:24
1  29.01.2001  13:31:27 2001-01-29 13:31:27
2  29.01.2001  13:31:29 2001-01-29 13:31:29
3  29.01.2001  13:31:32 2001-01-29 13:31:32
4  29.01.2001  13:31:34 2001-01-29 13:31:34