[
https://issues.apache.org/jira/browse/ARROW-14569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
David Li updated ARROW-14569:
-----------------------------
Labels: beginner good-second-issue kernel (was: kernel)
> [C++][Python] 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
> Labels: beginner, good-second-issue, kernel
>
> 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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
