CLN: Remove unsupported skips of pyarrow versions (#50208)

Author: phofl

pandas/tests/extension/base/casting.py

@@ -51,9 +51,7 @@ def test_astype_str(self, data):
         "nullable_string_dtype",
         [
             "string[python]",
-            pytest.param(
-                "string[pyarrow]", marks=td.skip_if_no("pyarrow", min_version="1.0.0")
-            ),
+            pytest.param("string[pyarrow]", marks=td.skip_if_no("pyarrow")),
         ],
     )
     def test_astype_string(self, data, nullable_string_dtype):

pandas/tests/frame/methods/test_astype.py

@@ -697,7 +697,7 @@ def test_astype_empty_dtype_dict(self):
             pytest.param(
                 ["x", "y", "z"],
                 "string[pyarrow]",
-                marks=td.skip_if_no("pyarrow", min_version="1.0.0"),
+                marks=td.skip_if_no("pyarrow"),
             ),
             (["x", "y", "z"], "category"),
             (3 * [Timestamp("2020-01-01", tz="UTC")], None),

pandas/tests/io/test_common.py

@@ -148,7 +148,7 @@ def test_bytesiowrapper_returns_correct_bytes(self):
             assert result == data.encode("utf-8")
 
     # Test that pyarrow can handle a file opened with get_handle
-    @td.skip_if_no("pyarrow", min_version="0.15.0")
+    @td.skip_if_no("pyarrow")
     def test_get_handle_pyarrow_compat(self):
         from pyarrow import csv
 

pandas/tests/io/test_fsspec.py

@@ -150,7 +150,7 @@ def test_to_parquet_new_file(cleared_fs, df1):
     )
 
 
-@td.skip_if_no("pyarrow", min_version="2")
+@td.skip_if_no("pyarrow")
 def test_arrowparquet_options(fsspectest):
     """Regression test for writing to a not-yet-existent GCS Parquet file."""
     df = DataFrame({"a": [0]})

pandas/tests/io/test_parquet.py

@@ -926,14 +926,14 @@ def test_additional_extension_arrays(self, pa):
         df = pd.DataFrame({"a": pd.Series([1, 2, 3, None], dtype="Int64")})
         check_round_trip(df, pa)
 
-    @td.skip_if_no("pyarrow", min_version="1.0.0")
+    @td.skip_if_no("pyarrow")
     def test_pyarrow_backed_string_array(self, pa, string_storage):
         # test ArrowStringArray supported through the __arrow_array__ protocol
         df = pd.DataFrame({"a": pd.Series(["a", None, "c"], dtype="string[pyarrow]")})
         with pd.option_context("string_storage", string_storage):
             check_round_trip(df, pa, expected=df.astype(f"string[{string_storage}]"))
 
-    @td.skip_if_no("pyarrow", min_version="2.0.0")
+    @td.skip_if_no("pyarrow")
     def test_additional_extension_types(self, pa):
         # test additional ExtensionArrays that are supported through the
         # __arrow_array__ protocol + by defining a custom ExtensionType
@@ -985,7 +985,7 @@ def test_timezone_aware_index(self, request, pa, timezone_aware_date_list):
         # this use-case sets the resolution to 1 minute
         check_round_trip(df, pa, check_dtype=False)
 
-    @td.skip_if_no("pyarrow", min_version="1.0.0")
+    @td.skip_if_no("pyarrow")
     def test_filter_row_groups(self, pa):
         # https://github.com/pandas-dev/pandas/issues/26551
         df = pd.DataFrame({"a": list(range(0, 3))})

pandas/tests/series/methods/test_astype.py

@@ -281,7 +281,7 @@ def test_td64_series_astype_object(self):
             pytest.param(
                 ["x", "y", "z"],
                 "string[pyarrow]",
-                marks=td.skip_if_no("pyarrow", min_version="1.0.0"),
+                marks=td.skip_if_no("pyarrow"),
             ),
             (["x", "y", "z"], "category"),
             (3 * [Timestamp("2020-01-01", tz="UTC")], None),

pandas/tests/series/methods/test_update.py

@@ -96,7 +96,7 @@ def test_update_from_non_series(self, series, other, expected):
                 [None, "b"],
                 ["a", "b"],
                 "string[pyarrow]",
-                marks=td.skip_if_no("pyarrow", min_version="1.0.0"),
+                marks=td.skip_if_no("pyarrow"),
             ),
             ([1, None], [None, 2], [1, 2], "Int64"),
             ([True, None], [None, False], [True, False], "boolean"),