pandas.to_datetime: Combine data from 2 columns - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: Data Science (https://python-forum.io/forum-44.html) +--- Thread: pandas.to_datetime: Combine data from 2 columns (/thread-32599.html) |
pandas.to_datetime: Combine data from 2 columns - ju21878436312 - Feb-20-2021 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 29.01.2001,13:31:34I 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.dtypesor alternatively: df_combine = df['Year','Time'] pd.to_datetime(df_combine)Has someone an idea? I would be very grateful RE: pandas.to_datetime: Combine data from 2 columns - perfringo - Feb-20-2021 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:
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