Pandas Datetime AVERAGE

问题

DataFrame where Date is datetime:

   Column   |       Date             
:-----------|----------------------:
    A       |   2018-08-05 17:06:01 
    A       |   2018-08-05 17:06:02 
    A       |   2018-08-05 17:06:03 
    B       |   2018-08-05 17:06:07 
    B       |   2018-08-05 17:06:09 
    B       |   2018-08-05 17:06:11 

Return Table is;

   Column   |       Date            
:-----------|----------------------:
    A       |   2018-08-05 17:06:02 
    B       |   2018-08-05 17:06:09 

回答1:

For your example.

Your data:

df = pd.DataFrame(data=[['A', '2018-08-05 17:06:01'],
                   ['A', '2018-08-05 17:06:02'],
                   ['A', '2018-08-05 17:06:03'],
                   ['B', '2018-08-05 17:06:07'],
                   ['B', '2018-08-05 17:06:09'],
                   ['B', '2018-08-05 17:06:11']],
            columns = ['column', 'date'])

Solution:

df.date = pd.to_datetime(df.date).values.astype(np.int64)

df = pd.DataFrame(pd.to_datetime(df.groupby('column').mean().date))

Output:

                      date
column                    
A      2018-08-05 17:06:02
B      2018-08-05 17:06:09

I hope it will be helpful.

来源：https://stackoverflow.com/questions/52007139/pandas-datetime-average