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https://issues.apache.org/jira/browse/ARROW-14569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Li updated ARROW-14569:
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Component/s: C++
> Support for pandas Categoricals with Intervals
> ----------------------------------------------
>
> Key: ARROW-14569
> URL: https://issues.apache.org/jira/browse/ARROW-14569
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++, Python
> Affects Versions: 6.0.0
> Reporter: Alberto Torres
> Priority: Minor
>
> Trying to write a pandas categorical created from `pd.cut` fails with the
> following error:
> {code:python}
> df_test = pd.DataFrame({"cat": pd.cut([1, 2, 3, 4, 5], bins=[2, 4])})
> df_test.to_parquet("test.parquet")
> {code}
> {code:python}
> File "pyarrow/error.pxi", line 120, in pyarrow.lib.check_status
> pyarrow.lib.ArrowNotImplementedError: Unsupported cast from
> dictionary<values=extension<pandas.interval<ArrowIntervalType>>,
> indices=int8, ordered=1> to extension<pandas.interval<ArrowIntervalType>> (no
> available cast function for target type)
> {code}
> The problems seems to be the interval dtype. Specifing the `labels` keyword
> solved the problem.
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