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Offsetting datetime in Pandas

schedule May 20, 2023
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To offset datetime in Pandas, initialise a Timedelta object and perform date arithmetics.

Example

Consider the following DataFrame:

date_index = pd.to_datetime(["24/12/2020", "26/12/2020"])
df = pd.DataFrame({"A":[3,4]}, index=date_index)
df
A
2020-12-24 3
2020-12-26 4

Here, the index is of type DatetimeIndex.

To offset the index by a day:

df.index + pd.Timedelta("1D")
DatetimeIndex(['2020-12-25', '2020-12-27'], dtype='datetime64[ns]', freq=None)

Note that date arithmetics with Timedelta works other datetime-related objects such as datetime64 and Timestamp.

Related

Pandas | Timedelta constructor
Creates a new Timedelta object, which represents a time difference in units that you specify. It is typically used to perform date arithmetics.
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Published by Isshin Inada
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