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https://issues.apache.org/jira/browse/ARROW-8498?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17086429#comment-17086429
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Joris Van den Bossche commented on ARROW-8498:
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[~uwe] fixed this recently (ARROW-8159), so will be in 0.17
> [Python] Schema.from_pandas fails on extension type, while Table.from_pandas
> works
> ----------------------------------------------------------------------------------
>
> Key: ARROW-8498
> URL: https://issues.apache.org/jira/browse/ARROW-8498
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.16.0
> Reporter: Thomas Buhrmann
> Priority: Major
>
> While Table.from_pandas() seems to work as expected with extension types,
> Schema.from_pandas() raises an ArrowTypeError:
> {code:python}
> df = pd.DataFrame({
> "x": pd.Series([1, 2, None], dtype="Int8"),
> "y": pd.Series(["a", "b", None], dtype="category"),
> "z": pd.Series(["ab", "bc", None], dtype="string"),
> })
> print(pa.Table.from_pandas(df).schema)
> print(pa.Schema.from_pandas(df))
> {code}
>
> Results in:
> {noformat}
> x: int8
> y: dictionary<values=string, indices=int8, ordered=0>
> z: string
> metadata
> --------
> {b'pandas': b'{"index_columns": [{"kind": "range", "name": null, "start": 0,
> "'
> b'stop": 3, "step": 1}], "column_indexes": [{"name": null,
> "field_'
> b'name": null, "pandas_type": "unicode", "numpy_type": "object",
> "'
> b'metadata": {"encoding": "UTF-8"}}], "columns": [{"name": "x",
> "f'
> b'ield_name": "x", "pandas_type": "int8", "numpy_type": "Int8",
> "m'
> b'etadata": null}, {"name": "y", "field_name": "y",
> "pandas_type":'
> b' "categorical", "numpy_type": "int8", "metadata":
> {"num_categori'
> b'es": 2, "ordered": false}}, {"name": "z", "field_name": "z",
> "pa'
> b'ndas_type": "unicode", "numpy_type": "string", "metadata":
> null}'
> b'], "creator": {"library": "pyarrow", "version": "0.16.0"},
> "pand'
> b'as_version": "1.0.3"}'}
> ---------------------------------------------------------------------------
> ArrowTypeError Traceback (most recent call last)
> ...
> ArrowTypeError: Did not pass numpy.dtype object
> {noformat}
> I'd imagine Table.from_pandas(df).schema and Schema.from_pandas(df) should
> result in the exact same object?
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