diff --git a/py-polars/tests/unit/constructors/test_constructors.py b/py-polars/tests/unit/constructors/test_constructors.py
index 2fdd3ae95bc1..253761b592ea 100644
--- a/py-polars/tests/unit/constructors/test_constructors.py
+++ b/py-polars/tests/unit/constructors/test_constructors.py
@@ -1624,3 +1624,73 @@ def test_array_construction() -> None:
     df = pl.from_dicts(rows, schema=schema)
     assert df.schema == schema
     assert df.rows() == [("a", [1, 2, 3]), ("b", [2, 3, 4])]
+
+
+class PyCapsuleStreamHolder:
+    """
+    Hold the Arrow C Stream pycapsule.
+
+    A class that exposes _only_ the Arrow C Stream interface via Arrow PyCapsules. This
+    ensures that the consumer is seeing _only_ the `__arrow_c_stream__` dunder, and that
+    nothing else (e.g. the dataframe or array interface) is actually being used.
+    """
+
+    arrow_obj: Any
+
+    def __init__(self, arrow_obj: object) -> None:
+        self.arrow_obj = arrow_obj
+
+    def __arrow_c_stream__(self, requested_schema: object = None) -> object:
+        return self.arrow_obj.__arrow_c_stream__(requested_schema)
+
+
+class PyCapsuleArrayHolder:
+    """
+    Hold the Arrow C Array pycapsule.
+
+    A class that exposes _only_ the Arrow C Array interface via Arrow PyCapsules. This
+    ensures that the consumer is seeing _only_ the `__arrow_c_array__` dunder, and that
+    nothing else (e.g. the dataframe or array interface) is actually being used.
+    """
+
+    arrow_obj: Any
+
+    def __init__(self, arrow_obj: object) -> None:
+        self.arrow_obj = arrow_obj
+
+    def __arrow_c_array__(self, requested_schema: object = None) -> object:
+        return self.arrow_obj.__arrow_c_array__(requested_schema)
+
+
+def test_pycapsule_interface(df: pl.DataFrame) -> None:
+    pyarrow_table = df.to_arrow()
+
+    # Array via C data interface
+    pyarrow_array = pyarrow_table["bools"].chunk(0)
+    round_trip_series = pl.Series(PyCapsuleArrayHolder(pyarrow_array))
+    df["bools"].equals(round_trip_series, check_dtypes=True, check_names=False)
+
+    # RecordBatch via C array interface
+    pyarrow_record_batch = pyarrow_table.to_batches()[0]
+    round_trip_df = pl.DataFrame(PyCapsuleArrayHolder(pyarrow_record_batch))
+    assert df.equals(round_trip_df)
+
+    # ChunkedArray via C stream interface
+    pyarrow_chunked_array = pyarrow_table["bools"]
+    round_trip_series = pl.Series(PyCapsuleStreamHolder(pyarrow_chunked_array))
+    df["bools"].equals(round_trip_series, check_dtypes=True, check_names=False)
+
+    # Table via C stream interface
+    round_trip_df = pl.DataFrame(PyCapsuleStreamHolder(pyarrow_table))
+    assert df.equals(round_trip_df)
+
+    # empty Table via C stream interface
+    # empty_df = df[:0].to_arrow()
+    # round_trip_df = pl.DataFrame(PyCapsuleStreamHolder(empty_df))
+
+    # RecordBatchReader via C stream interface
+    pyarrow_reader = pa.RecordBatchReader.from_batches(
+        pyarrow_table.schema, pyarrow_table.to_batches()
+    )
+    round_trip_df = pl.DataFrame(PyCapsuleStreamHolder(pyarrow_reader))
+    assert df.equals(round_trip_df)