itholic opened a new pull request #33757: URL: https://github.com/apache/spark/pull/33757
### What changes were proposed in this pull request? This PR proposes to fix the behavior of `astype` for `CategoricalDtype` to follow pandas 1.3. **Before:** ```python >>> pcat 0 a 1 b 2 c dtype: category Categories (3, object): ['a', 'b', 'c'] >>> pcat.astype(CategoricalDtype(["b", "c", "a"])) 0 a 1 b 2 c dtype: category Categories (3, object): ['b', 'c', 'a'] ``` **After:** ```python >>> pcat 0 a 1 b 2 c dtype: category Categories (3, object): ['a', 'b', 'c'] >>> pcat.astype(CategoricalDtype(["b", "c", "a"])) 0 a 1 b 2 c dtype: category Categories (3, object): ['a', 'b', 'c'] # CategoricalDtype is not updated if dtype is the same ``` `CategoricalDtype` is treated as a same `dtype` if the unique values are the same. ```python >>> pcat1 = pser.astype(CategoricalDtype(["b", "c", "a"])) >>> pcat2 = pser.astype(CategoricalDtype(["a", "b", "c"])) >>> pcat1.dtype == pcat2.dtype True ``` ### Why are the changes needed? We should follow the latest pandas as much as possible. ### Does this PR introduce _any_ user-facing change? Yes, the behavior is changed as example in the PR description. ### How was this patch tested? Unittest -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
