ENH: Add arrow tests for get_dummies

pandas/_testing/__init__.py

@@ -42,6 +42,7 @@
 
 import pandas as pd
 from pandas import (
+    ArrowDtype,
     Categorical,
     CategoricalIndex,
     DataFrame,
@@ -198,10 +199,16 @@
     UNSIGNED_INT_PYARROW_DTYPES = [pa.uint8(), pa.uint16(), pa.uint32(), pa.uint64()]
     SIGNED_INT_PYARROW_DTYPES = [pa.int8(), pa.int16(), pa.int32(), pa.int64()]
     ALL_INT_PYARROW_DTYPES = UNSIGNED_INT_PYARROW_DTYPES + SIGNED_INT_PYARROW_DTYPES
+    ALL_INT_PYARROW_DTYPES_STR_REPR = [
+        str(ArrowDtype(typ)) for typ in ALL_INT_PYARROW_DTYPES
+    ]
 
     # pa.float16 doesn't seem supported
     # https://github.com/apache/arrow/blob/master/python/pyarrow/src/arrow/python/helpers.cc#L86
     FLOAT_PYARROW_DTYPES = [pa.float32(), pa.float64()]
+    FLOAT_PYARROW_DTYPES_STR_REPR = [
+        str(ArrowDtype(typ)) for typ in FLOAT_PYARROW_DTYPES
+    ]
     STRING_PYARROW_DTYPES = [pa.string()]
     BINARY_PYARROW_DTYPES = [pa.binary()]
 
@@ -234,6 +241,9 @@
         + TIMEDELTA_PYARROW_DTYPES
         + BOOL_PYARROW_DTYPES
     )
+else:
+    FLOAT_PYARROW_DTYPES_STR_REPR = []
+    ALL_INT_PYARROW_DTYPES_STR_REPR = []
 
 
 EMPTY_STRING_PATTERN = re.compile("^$")

pandas/conftest.py

@@ -1527,6 +1527,43 @@ def any_numeric_ea_dtype(request):
     return request.param
 
 
+#  Unsupported operand types for + ("List[Union[str, ExtensionDtype, dtype[Any],
+#  Type[object]]]" and "List[str]")
+@pytest.fixture(
+    params=tm.ALL_INT_EA_DTYPES
+    + tm.FLOAT_EA_DTYPES
+    + tm.ALL_INT_PYARROW_DTYPES_STR_REPR
+    + tm.FLOAT_PYARROW_DTYPES_STR_REPR  # type: ignore[operator]
+)
+def any_numeric_ea_and_arrow_dtype(request):
+    """
+    Parameterized fixture for any nullable integer dtype and
+    any float ea dtypes.
+
+    * 'UInt8'
+    * 'Int8'
+    * 'UInt16'
+    * 'Int16'
+    * 'UInt32'
+    * 'Int32'
+    * 'UInt64'
+    * 'Int64'
+    * 'Float32'
+    * 'Float64'
+    * 'uint8[pyarrow]'
+    * 'int8[pyarrow]'
+    * 'uint16[pyarrow]'
+    * 'int16[pyarrow]'
+    * 'uint32[pyarrow]'
+    * 'int32[pyarrow]'
+    * 'uint64[pyarrow]'
+    * 'int64[pyarrow]'
+    * 'float32[pyarrow]'
+    * 'float64[pyarrow]'
+    """
+    return request.param
+
+
 @pytest.fixture(params=tm.SIGNED_INT_EA_DTYPES)
 def any_signed_int_ea_dtype(request):
     """

pandas/tests/reshape/test_get_dummies.py

@@ -658,22 +658,22 @@ def test_get_dummies_with_string_values(self, values):
         with pytest.raises(TypeError, match=msg):
             get_dummies(df, columns=values)
 
-    def test_get_dummies_ea_dtype_series(self, any_numeric_ea_dtype):
+    def test_get_dummies_ea_dtype_series(self, any_numeric_ea_and_arrow_dtype):
         # GH#32430
         ser = Series(list("abca"))
-        result = get_dummies(ser, dtype=any_numeric_ea_dtype)
+        result = get_dummies(ser, dtype=any_numeric_ea_and_arrow_dtype)
         expected = DataFrame(
             {"a": [1, 0, 0, 1], "b": [0, 1, 0, 0], "c": [0, 0, 1, 0]},
-            dtype=any_numeric_ea_dtype,
+            dtype=any_numeric_ea_and_arrow_dtype,
         )
         tm.assert_frame_equal(result, expected)
 
-    def test_get_dummies_ea_dtype_dataframe(self, any_numeric_ea_dtype):
+    def test_get_dummies_ea_dtype_dataframe(self, any_numeric_ea_and_arrow_dtype):
         # GH#32430
         df = DataFrame({"x": list("abca")})
-        result = get_dummies(df, dtype=any_numeric_ea_dtype)
+        result = get_dummies(df, dtype=any_numeric_ea_and_arrow_dtype)
         expected = DataFrame(
             {"x_a": [1, 0, 0, 1], "x_b": [0, 1, 0, 0], "x_c": [0, 0, 1, 0]},
-            dtype=any_numeric_ea_dtype,
+            dtype=any_numeric_ea_and_arrow_dtype,
         )
         tm.assert_frame_equal(result, expected)