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Modifying dates in Pandas

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Time Series Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Replacing dates of Timestamp

To modify dates (Timestamp) in Pandas, use the dt.replace(~) helper method:

ts = pd.to_datetime("2020/12/25") # returns a Timestamp
ts.replace(year=2025)
Timestamp('2025-12-25 00:00:00')

Note that since Timestamp is immutable, a new Timestamp is returned and the original is kept intact.

Replacing dates in Series of datetime

Consider the following Series:

dates = pd.Series(pd.to_datetime(["2019/11/25","2020/12/26"]))
dates
0 2019-11-25
1 2020-12-26
dtype: datetime64[ns]

To iteratively modify each date (datetime64) in dates:

dates.map(lambda val: val.replace(year=2025))
0 2025-11-25
1 2025-12-26
dtype: datetime64[ns]

Again, map(~) returns a new Series and so the original dates is kept intact.

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Published by Isshin Inada
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