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GH-49628: [Python][Interchange protocol] Suppress warnings for pandas 4.0.0 and update docs #49630

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GH-49628: [Python][Interchange protocol] Suppress warnings for pandas 4.0.0 and update docs #49630

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d849c14
Add filterwarnings
AlenkaF Apr 1, 2026
3a1ec92
Remove pandas example from the docs
AlenkaF Apr 1, 2026
c8d1bc0
Remove Pandas4Warning
AlenkaF Apr 1, 2026
8f1e865
Remove example from from_dataframe docstrings
AlenkaF Apr 1, 2026
f6c48c9
Set pytestmark at the top
AlenkaF Apr 2, 2026
3abf63f
Add a note
AlenkaF Apr 2, 2026
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33 changes: 7 additions & 26 deletions docs/source/python/interchange_protocol.rst
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Expand Up @@ -36,6 +36,12 @@ libraries in the Python ecosystem. See more about the
standard in the
`protocol documentation <https://data-apis.org/dataframe-protocol/latest/index.html>`_.

.. note::

The recommended way to convert between dataframe libraries is through
the :ref:`arrow-pycapsule-interface`, for example by calling ``pa.table(df)``
on a dataframe object that implements it.

From PyArrow to other libraries: ``__dataframe__()`` method
-----------------------------------------------------------

Expand All @@ -61,34 +67,9 @@ from any dataframe object that implements the
``__dataframe__()`` method via the dataframe interchange
protocol.

We can for example take a pandas dataframe and construct a
We can for example take a polars dataframe and construct a
PyArrow table with the use of the interchange protocol:

.. code-block:: python

>>> import pyarrow
>>> from pyarrow.interchange import from_dataframe

>>> import pandas as pd
>>> df = pd.DataFrame({
... "n_attendees": [100, 10, 1],
... "country": ["Italy", "Spain", "Slovenia"],
... })
>>> df
n_attendees country
0 100 Italy
1 10 Spain
2 1 Slovenia
>>> from_dataframe(df)
pyarrow.Table
n_attendees: int64
country: large_string
----
n_attendees: [[100,10,1]]
country: [["Italy","Spain","Slovenia"]]

We can do the same with a polars dataframe:

.. code-block:: python

>>> import polars as pl # doctest: +SKIP
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25 changes: 0 additions & 25 deletions python/pyarrow/interchange/from_dataframe.py
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Expand Up @@ -76,31 +76,6 @@ def from_dataframe(df: DataFrameObject, allow_copy=True) -> pa.Table:
Returns
-------
pa.Table

Examples
--------
>>> import pyarrow
>>> from pyarrow.interchange import from_dataframe

Convert a pandas dataframe to a pyarrow table:

>>> import pandas as pd
>>> df = pd.DataFrame({
... "n_attendees": [100, 10, 1],
... "country": ["Italy", "Spain", "Slovenia"],
... })
>>> df
n_attendees country
0 100 Italy
1 10 Spain
2 1 Slovenia
>>> from_dataframe(df)
pyarrow.Table
n_attendees: int64
country: large_string
----
n_attendees: [[100,10,1]]
country: [["Italy","Spain","Slovenia"]]
"""
if isinstance(df, pa.Table):
return df
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4 changes: 4 additions & 0 deletions python/pyarrow/tests/interchange/test_conversion.py
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Expand Up @@ -40,6 +40,10 @@
pass


pytestmark = pytest.mark.filterwarnings(
"ignore:The Dataframe Interchange Protocol is deprecated.")


@pytest.mark.parametrize("unit", ['s', 'ms', 'us', 'ns'])
@pytest.mark.parametrize("tz", ['', 'America/New_York', '+07:30', '-04:30'])
def test_datetime(unit, tz):
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