fixing the formatting issue

Author: Santhosh Kumar Bethi

pandas/tests/frame/test_query_eval.py

@@ -160,21 +160,13 @@ def test_query_empty_string(self):
             df.query("")
 
     def test_query_duplicate_column_name(self, engine, parser):
-        df = DataFrame(
-            {
-                "A": range(3),
-                "B": range(3),
-                "C": range(3)
-            }
-        ).rename(columns={"B": "A"})
+        df = DataFrame({"A": range(3), "B": range(3), "C": range(3)}).rename(
+            columns={"B": "A"}
+        )
 
         res = df.query("C == 1", engine=engine, parser=parser)
 
-        expect = DataFrame(
-            [[1, 1, 1]],
-            columns=["A", "A", "C"],
-            index=[1]
-        )
+        expect = DataFrame([[1, 1, 1]], columns=["A", "A", "C"], index=[1])
 
         tm.assert_frame_equal(res, expect)
 
@@ -1140,9 +1132,7 @@ def test_query_with_nested_special_character(self, parser, engine):
             [">=", operator.ge],
         ],
     )
-    def test_query_lex_compare_strings(
-        self, parser, engine, op, func
-    ):
+    def test_query_lex_compare_strings(self, parser, engine, op, func):
         a = Series(np.random.default_rng(2).choice(list("abcde"), 20))
         b = Series(np.arange(a.size))
         df = DataFrame({"X": a, "Y": b})

pandas/tests/util/test_assert_frame_equal.py

@@ -416,31 +416,28 @@ def test_datetimelike_compat_deprecated():
 
 
 def test_assert_frame_equal_na_object_vs_int32_check_dtype_false():
-    #GH# 61473
+    # GH# 61473
     df1 = DataFrame({"a": pd.Series([pd.NA], dtype="Int32")})
     df2 = DataFrame({"a": pd.Series([pd.NA], dtype="object")})
     tm.assert_frame_equal(df1, df2, check_dtype=False)
 
 
 def test_assert_frame_equal_object_vs_int32_check_dtype_false():
-    #GH# 61473
-    df1 = DataFrame({"a": pd.Series([pd.NA,0], dtype="Int32")})
-    df2 = DataFrame({"a": pd.Series([pd.NA,0], dtype="object")})
+    # GH# 61473
+    df1 = DataFrame({"a": pd.Series([pd.NA, 0], dtype="Int32")})
+    df2 = DataFrame({"a": pd.Series([pd.NA, 0], dtype="object")})
     tm.assert_frame_equal(df1, df2, check_dtype=False)
 
 
 def test_assert_frame_not_equal_object_vs_int32_check_dtype_false():
-    #GH# 61473
-    df1 = DataFrame({"a": pd.Series([pd.NA,0], dtype="Int32")})
-    df2 = DataFrame({"a": pd.Series([pd.NA,1], dtype="object")})
-    msg = (
-        r"""DataFrame\.iloc\[:, 0\] \(column name="a"\) are different
+    # GH# 61473
+    df1 = DataFrame({"a": pd.Series([pd.NA, 0], dtype="Int32")})
+    df2 = DataFrame({"a": pd.Series([pd.NA, 1], dtype="object")})
+    msg = r"""DataFrame\.iloc\[:, 0\] \(column name="a"\) are different
 
 DataFrame\.iloc\[:, 0\] \(column name="a"\) values are different \(50\.0 %\)
 \[index\]: \[0, 1\]
 \[left\]:  \[<NA>, 0\]
 \[right\]: \[<NA>, 1\]"""
-)
     with pytest.raises(AssertionError, match=msg):
         tm.assert_frame_equal(df1, df2, check_dtype=False)
-