diff --git a/docs/source/python/interchange_protocol.rst b/docs/source/python/interchange_protocol.rst
index efb10d2ab52e..a586a364ffcd 100644
--- a/docs/source/python/interchange_protocol.rst
+++ b/docs/source/python/interchange_protocol.rst
@@ -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
 -----------------------------------------------------------
 
@@ -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
diff --git a/python/pyarrow/interchange/from_dataframe.py b/python/pyarrow/interchange/from_dataframe.py
index fcaec41e3dcd..fc6530a83316 100644
--- a/python/pyarrow/interchange/from_dataframe.py
+++ b/python/pyarrow/interchange/from_dataframe.py
@@ -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
diff --git a/python/pyarrow/tests/interchange/test_conversion.py b/python/pyarrow/tests/interchange/test_conversion.py
index 50da6693afff..81713b94e6db 100644
--- a/python/pyarrow/tests/interchange/test_conversion.py
+++ b/python/pyarrow/tests/interchange/test_conversion.py
@@ -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):