Datetime objects with pandas mean function

Question

I am new to programming so I apologize in advance if this question does not make any sens. I noticed that when I try to calculate the mean value of a pandas data frame with

Answer 1

You can use datetime.timedelta

import functools
import operator
import datetime

import pandas as pd

d={'one' : pd.Series([1, 2, 3], index=['a', 'b', 'c']), 'two' :pd.Series([datetime.datetime(2014, 7, 9) , datetime.datetime(2014, 7, 10) , datetime.datetime(2014, 7, 11) ], index=['a', 'b', 'c'])}
df = pd.DataFrame(d)

def avg_datetime(series):
    dt_min = series.min()
    deltas = [x-dt_min for x in series]
    return dt_min + functools.reduce(operator.add, deltas) / len(deltas)

print(avg_datetime(df['two']))