Miguel Cantón Cortés created ARROW-14004:
--------------------------------------------
Summary: to_pandas() converts to float instead of using pandas
nullable types
Key: ARROW-14004
URL: https://issues.apache.org/jira/browse/ARROW-14004
Project: Apache Arrow
Issue Type: Bug
Reporter: Miguel Cantón Cortés
Attachments: image.png
We've noticed that when converting an Arrow Table to pandas using
`.to_pandas()` integer columns with null values get converted to float instead
of using pandas nullable types.
If the column was created with pandas first it is correctly preserved (I guess
it's using stored metadata for this).
As currently there is support for nullable types in pandas, just as in Arrow,
it would be great to use these types when dealing with columns with null values.
If you are reticent to change this behavior, a param would be nice too (e.g.
`to_pandas(use_nullable_types: True)`).
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
