How does datetime understand 53rd week?-CodePudding

When assigning data to a specific year-week (using pandas 1.5.0), there is a surprising behavior (at least to me) around new years day and I wonder if I am doing something wrong, here is how I am computing the year and week for Jan 1 2021:

pd.to_datetime('2021-01-01 00:10:00 00:00').year

>>> 2021

pd.to_datetime('2021-01-01 00:10:00 00:00').week

>>> 53

The value of 2021 makes sense, and I could understand 53 as the 53rd week of 2020, but put together when I sort/plot the data by year-wake, this point ends up at the end of 2021. Do I need to call year/week together to make sure they return a consistent answer?

CodePudding user response：

.weekofyear and .week have been deprecated since version 1.1.0 (July 28, 2020). you can use .isocalendar().week to access the week instead.

CodePudding user response：

Adding isocalendar() to the call appears to resolve the discrepency:

pd.to_datetime('2021-01-01 00:10:00 00:00').isocalendar().year

>>> 2020

pd.to_datetime('2021-01-01 00:10:00 00:00').isocalendar().week

>>> 53