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https://issues.apache.org/jira/browse/ARROW-2037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16858692#comment-16858692
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Joris Van den Bossche commented on ARROW-2037:
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You get an "empty" inferred type if you have an object dtype with no rows or
only missing values:
{code:python}
In [43]: s = pd.Series([], dtype=object)
In [44]: pd.api.types.infer_dtype(s, skipna=True)
Out[44]: 'empty'
In [45]: s = pd.Series([None, None], dtype=object)
In [46]: pd.api.types.infer_dtype(s, skipna=True)
Out[46]: 'empty'
{code}
Not sure if that is what was meant, but the roundtrip for that is currently
working, so can add a test for that.
> [Python]: Add tests for ARROW-1941 cases where pandas inferred type is 'empty'
> ------------------------------------------------------------------------------
>
> Key: ARROW-2037
> URL: https://issues.apache.org/jira/browse/ARROW-2037
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.8.0
> Reporter: Phillip Cloud
> Assignee: Phillip Cloud
> Priority: Major
> Fix For: 0.14.0
>
>
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