BUG: use EA.astype in ExtensionBlock.to_native_types

pandas/core/internals/blocks.py

@@ -687,7 +687,6 @@ def _try_coerce_args(self, other):
 
     def to_native_types(self, slicer=None, na_rep="nan", quoting=None, **kwargs):
         """ convert to our native types format, slicing if desired """
-
         values = self.get_values()
 
         if slicer is not None:
@@ -1783,6 +1782,23 @@ def get_values(self, dtype=None):
     def to_dense(self):
         return np.asarray(self.values)
 
+    def to_native_types(self, slicer=None, na_rep="nan", quoting=None, **kwargs):
+        """override to use ExtensionArray astype for the conversion"""
+        values = self.values
+        if slicer is not None:
+            values = values[slicer]
+        mask = isna(values)
+
+        try:
+            values = values.astype(str)
+            values[mask] = na_rep
+        except Exception:
+            # eg SparseArray does not support setitem, needs to be converted to ndarray
+            return super().to_native_types(slicer, na_rep, quoting, **kwargs)
+
+        # we are expected to return a 2-d ndarray
+        return values.reshape(1, len(values))
+
     def take_nd(self, indexer, axis=0, new_mgr_locs=None, fill_tuple=None):
         """
         Take values according to indexer and return them as a block.
@@ -2338,6 +2354,22 @@ def to_dense(self):
         # expects that behavior.
         return np.asarray(self.values, dtype=_NS_DTYPE)
 
+    def to_native_types(
+        self, slicer=None, na_rep=None, date_format=None, quoting=None, **kwargs
+    ):
+        """
+        We need to pick DatetimeBlock's version, but the inheritance structure
+        would use ExtensionBlock's verison
+        """
+        return DatetimeBlock.to_native_types(
+            self,
+            slicer=slicer,
+            na_rep=na_rep,
+            date_format=date_format,
+            quoting=quoting,
+            **kwargs
+        )
+
     def _slice(self, slicer):
         """ return a slice of my values """
         if isinstance(slicer, tuple):