Revert pandas warning filter

py-polars/polars/dataframe/frame.py

@@ -4,7 +4,6 @@
 import contextlib
 import os
 import random
-import warnings
 from collections import OrderedDict, defaultdict
 from collections.abc import Sized
 from io import BytesIO, StringIO, TextIOWrapper
@@ -2290,33 +2289,15 @@ def to_pandas(  # noqa: D417
         record_batches = self._df.to_pandas()
         tbl = pa.Table.from_batches(record_batches)
         if use_pyarrow_extension_array:
-            with warnings.catch_warnings():
-                # Needs fixing upstream in pyarrow
-                # Silence here as it's something Polars users can't do
-                # anything about.
-                warnings.filterwarnings(
-                    "ignore",
-                    message="make_block is deprecated and will be removed",
-                    category=DeprecationWarning,
-                )
-                return tbl.to_pandas(
-                    self_destruct=True,
-                    split_blocks=True,
-                    types_mapper=lambda pa_dtype: pd.ArrowDtype(pa_dtype),
-                    **kwargs,
-                )
+            return tbl.to_pandas(
+                self_destruct=True,
+                split_blocks=True,
+                types_mapper=lambda pa_dtype: pd.ArrowDtype(pa_dtype),
+                **kwargs,
+            )
 
         date_as_object = kwargs.pop("date_as_object", False)
-        with warnings.catch_warnings():
-            # Needs fixing upstream in pyarrow
-            # Silence here as it's something Polars users can't do
-            # anything about.
-            warnings.filterwarnings(
-                "ignore",
-                message="make_block is deprecated and will be removed",
-                category=DeprecationWarning,
-            )
-            return tbl.to_pandas(date_as_object=date_as_object, **kwargs)
+        return tbl.to_pandas(date_as_object=date_as_object, **kwargs)
 
     def to_series(self, index: int = 0) -> Series:
         """