pythonpandasdataframedatetimesyntax

How can I subtract two date time values in a Pandas Dataframe

I’m working on a project and I need to subtract two date time values to get the number of days. A sample of the data can be seen below:


                   ALARM_DATE               CONT_DATE  \
0      2020/06/18 00:00:00+00  2020/06/23 00:00:00+00   
1      2020/06/01 00:00:00+00  2020/06/04 00:00:00+00   
2      2020/08/10 00:00:00+00  2020/03/01 00:00:00+00   
3      2020/03/31 00:00:00+00  2020/04/01 00:00:00+00   
4      2020/04/14 00:00:00+00  2020/04/19 00:00:00+00   
...                       ...                     ...

I tried simply subtracting the values, but obviously that didn’t work. Can anyone please help?

Solution

  • Convert your columns to actual dates first:

    df['ALARM_DATE'] = pd.to_datetime(df['ALARM_DATE'])
df['CONT_DATE'] = pd.to_datetime(df['CONT_DATE'])

    Or:

    df[['ALARM_DATE', 'CONT_DATE']] = df[['ALARM_DATE', 'CONT_DATE']].apply(pd.to_datetime)

    Output:

    >>> df['CONT_DATE'] - df['ALARM_DATE']
0      5 days
1      3 days
2   -162 days
3      1 days
4      5 days
dtype: timedelta64[ns]