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

User · Accepted Answer

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

User · Answer

The Philippe solution but cleaner   My subtraction data is   2018-09-22T11 05 00 000Z   import datetime import pandas as pd  df modified   pd to datetime df reference index values  - datetime datetime 2018  9  22  11  5  0

User · Answer

This one worked for me   gt  gt  print df                            TotalVolume  Symbol 2016-04-15 09 00 00       108400       2802 T 2016-04-15 09 05 00       50300        2802 T   gt  gt  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

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

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