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Posted to issues@arrow.apache.org by "Alberto Torres (Jira)" <ji...@apache.org> on 2021/11/03 12:10:00 UTC
[jira] [Created] (ARROW-14569) Support for pandas Categoricals with
Intervals
Alberto Torres created ARROW-14569:
--------------------------------------
Summary: 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: Python
Affects Versions: 6.0.0
Reporter: Alberto Torres
Trying to write a pandas categorical created from `pd.cut` fails with the following error:
```
df_test = pd.DataFrame(\{"cat": pd.cut([1, 2, 3, 4, 5], [2, 4])})
df_test.to_parquet("test.parquet")
```
```
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)
```
The problems seems to be the interval dtype. Specifing the `labels` keyword solved the problem.
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