Filter warning in sparse repr

pandas/core/sparse/frame.py

@@ -242,6 +242,11 @@ def _init_spmatrix(self, data, index, columns, dtype=None,
     def to_coo(self):
         return SparseFrameAccessor(self).to_coo()
 
+    def __repr__(self):
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore", "Sparse")
+            return super().__repr__()
+
     def __getstate__(self):
         # pickling
         return dict(_typ=self._typ, _subtyp=self._subtyp, _data=self._data,

pandas/core/sparse/series.py

@@ -214,10 +214,12 @@ def as_sparse_array(self, kind=None, fill_value=None, copy=False):
                            fill_value=fill_value, kind=kind, copy=copy)
 
     def __repr__(self):
-        series_rep = Series.__repr__(self)
-        rep = '{series}\n{index!r}'.format(series=series_rep,
-                                           index=self.sp_index)
-        return rep
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore", "Sparse")
+            series_rep = Series.__repr__(self)
+            rep = '{series}\n{index!r}'.format(series=series_rep,
+                                               index=self.sp_index)
+            return rep
 
     def _reduce(self, op, name, axis=0, skipna=True, numeric_only=None,
                 filter_type=None, **kwds):

pandas/tests/sparse/test_format.py

@@ -1,3 +1,5 @@
+import warnings
+
 import numpy as np
 import pytest
 
@@ -133,3 +135,14 @@ def test_sparse_repr_after_set(self):
 
         repr(sdf)
         tm.assert_sp_frame_equal(sdf, res)
+
+
+def test_repr_no_warning():
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", FutureWarning)
+        df = pd.SparseDataFrame({"A": [1, 2]})
+        s = df['A']
+
+    with tm.assert_produces_warning(None):
+        repr(df)
+        repr(s)