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https://issues.apache.org/jira/browse/ARROW-4832?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney closed ARROW-4832.
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Resolution: Not A Problem
I misread the metadata. I'll just work on addressing ARROW-1639 for now
> [Python] pandas Index metadata for RangeIndex is incorrect
> ----------------------------------------------------------
>
> Key: ARROW-4832
> URL: https://issues.apache.org/jira/browse/ARROW-4832
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Wes McKinney
> Priority: Major
> Fix For: 0.14.0
>
>
> I'm looking at ARROW-1639 to optimize storage and loading of RangeIndex, but
> in the meantime I wanted to report this oddness:
> {code}
> In [9]: df = pd.DataFrame({'a': [1, 2, 3]})
>
> In [10]: json.loads(pa.Table.from_pandas(df).schema.metadata[b'pandas'])
>
> Out[10]:
> {'index_columns': ['__index_level_0__'],
> 'column_indexes': [{'name': None,
> 'field_name': None,
> 'pandas_type': 'unicode',
> 'numpy_type': 'object',
> 'metadata': {'encoding': 'UTF-8'}}],
> 'columns': [{'name': 'a',
> 'field_name': 'a',
> 'pandas_type': 'int64',
> 'numpy_type': 'int64',
> 'metadata': None},
> {'name': None,
> 'field_name': '__index_level_0__',
> 'pandas_type': 'int64',
> 'numpy_type': 'int64',
> 'metadata': None}],
> 'pandas_version': '0.23.4'}
> {code}
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