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https://issues.apache.org/jira/browse/ARROW-13784?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche resolved ARROW-13784.
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Fix Version/s: (was: 7.0.0)
6.0.0
Resolution: Fixed
Issue resolved by pull request 11457
[https://github.com/apache/arrow/pull/11457]
> [Python] Table.from_arrays should raise an error when array is empty but
> names is not
> -------------------------------------------------------------------------------------
>
> Key: ARROW-13784
> URL: https://issues.apache.org/jira/browse/ARROW-13784
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 4.0.1
> Reporter: Abderrahmane Jaidi
> Assignee: Alenka Frim
> Priority: Major
> Labels: good-first-issue, pull-request-available
> Fix For: 6.0.0
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> The `Table.from_arrays` method returns an empty schema when supplying an
> empty arrays list but providing column names. As a result, the subsequent
> `to_pandas` method returns an empty data frame with no column names.
> ```
> {{import pyarrow as pa}}
> {{arrays = []}}
> {{cols_names = ["col1", "col2"]}}
> {{table = pa.Table.from_arrays(arrays=arrays, names=cols_names)}}
> {{table.schema # returns nothing}}
> {{df = table.to_pandas()}}
> {{df.head()}}
> {{Empty DataFrame
> Columns: []
> Index: [] # Expected column names to be visible here}}
> ```
> I assume that this is because a schema cannot be built without data types?
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