Finding the mean and standard deviation of a timedelta object in pandas df

Question

I would like to calculate the mean and standard deviation of a timedelta by bank from a dataframe with two columns shown

Answer 1

I would suggest passing the numeric_only=False argument to mean as mentioned by Alexander Usikov - this works for pandas version 0.20+.

If you have an older version, the following works:

import pandas pd

df = pd.DataFrame({
    'td': pd.Series([pd.Timedelta(days=i) for i in range(5)]),
    'group': ['a', 'a', 'a', 'b', 'b']
})

(
    df
    .astype({'td': int})         # convert timedelta to integer (nanoseconds)
    .groupby('group')
    .mean()
    .astype({'td': 'timedelta64[ns]'})
)