Fix PyArrow issue and preserve Series attrs metadata

Author: aaronchucarroll

pandas/core/strings/accessor.py

@@ -2440,6 +2440,9 @@ def get_dummies(
         input_series = (
             Series(self._data) if isinstance(self._data, ABCIndex) else self._data
         )
+        if isinstance(self._data.dtype, ArrowDtype):
+            import pyarrow as pa
+            dtype = ArrowDtype(pa.bool_())
         string_series = input_series.apply(lambda x: str(x) if not isna(x) else x)
         split_series = string_series.str.split(sep, expand=True).stack()
         valid_split_series = split_series[
@@ -2486,9 +2489,13 @@ def get_dummies(
                 f"{prefix[i]}{prefix_sep}{col}"
                 for i, col in enumerate(result_df.columns)
             ]
-
+        
         if isinstance(self._data, ABCIndex):
             return MultiIndex.from_frame(result_df)
+            
+        result_df.attrs = self._data.attrs
+        if dtype is not None and not sparse:
+            return result_df.astype(dtype)
         return result_df
 
     @forbid_nonstring_types(["bytes"])