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https://issues.apache.org/jira/browse/ARROW-6548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessandro Molina updated ARROW-6548:
-------------------------------------
Fix Version/s: 8.0.0
(was: 7.0.0)
> [Python] consistently handle conversion of all-NaN arrays across types
> ----------------------------------------------------------------------
>
> Key: ARROW-6548
> URL: https://issues.apache.org/jira/browse/ARROW-6548
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Joris Van den Bossche
> Priority: Major
> Fix For: 8.0.0
>
>
> In ARROW-5682 (https://github.com/apache/arrow/pull/5333), next to fixing
> actual conversion bugs, I added the ability to convert all-NaN float arrays
> when converting to string type (and only with {{from_pandas=True}}). So this
> now works:
> {code}
> >>> pa.array(np.array([np.nan, np.nan], dtype=float), type=pa.string(),
> >>> from_pandas=True)
> <pyarrow.lib.StringArray object at 0x7f54dc9de830>
> [
> null,
> null
> ]
> {code}
> However, I only added this for string type (and it already works for float
> and int types). If we are happy with this behaviour, we should also add it
> for other types.
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