How to add/subtract time (hours, minutes, etc.) from a Pandas DataFrame.Index whos objects are of type datetime.time?

Question

I've got a DataFrame who's index is just datetime.time and there's no method in DataFrame.Index and datetime.time to shift the time. datetime.time has replace but that'll only work on individual items of the Series?

Here's an example of the index used:

In[526]:  dfa.index[:5] Out[526]: Index([21:12:19, 21:12:20, 21:12:21, 21:12:21, 21:12:22], dtype='object')  In[527]:  type(dfa.index[0]) Out[527]: datetime.time 

Answer 1

Liam's link looks great, but also check out pandas.Timedelta - looks like it plays nicely with NumPy's and Python's time deltas.

https://pandas.pydata.org/pandas-docs/stable/timedeltas.html

pd.date_range('2014-01-01', periods=10) + pd.Timedelta(days=1) 

Answer 2

This one worked for me:

>> print(df)                           TotalVolume  Symbol 2016-04-15 09:00:00       108400       2802.T 2016-04-15 09:05:00       50300        2802.T  >> print(df.set_index(pd.to_datetime(df.index.values) - datetime(2016, 4, 15)))               TotalVolume  Symbol 09:00:00     108400       2802.T 09:05:00     50300        2802.T