fixed linting

Author: tasfia8

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)
+        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)
 
@@ -1141,9 +1133,7 @@ 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/indexes/categorical/test_formats.py

@@ -51,27 +51,31 @@ def test_string_categorical_index_repr(self):
 
         # multiple lines
         idx = CategoricalIndex(["あ", "いい", "ううう"] * 10)
-        expected = """CategoricalIndex(['あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ',
-                  'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい',
-                  'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう'],
-                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category')"""egory')"""  # noqa: E501
+        expected = """CategoricalIndex(['あ', 'いい', 'ううう', 'あ', 'いい',
+                  'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい',
+                    'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい',
+                  'ううう', 'あ', 'いい', 'ううう', 'あ',
+                  'いい', 'ううう', 'あ', 'いい', 'ううう'],
+                 categories=['あ', 'いい', 'ううう'],
+                 ordered=False, dtype='category')"""
 
         assert repr(idx) == expected
 
         # truncated
         idx = CategoricalIndex(["あ", "いい", "ううう"] * 100)
         expected = """CategoricalIndex(['あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ',
                   ...
-                  'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう'],
-                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category', length=300)"""length=300)"""  # noqa: E501
+                  'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ',
+                  'いい', 'ううう'],
+                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category', length=300)"""
 
         assert repr(idx) == expected
 
         # larger categories
         idx = CategoricalIndex(list("あいうえおかきくけこさしすせそ"))
         expected = """CategoricalIndex(['あ', 'い', 'う', 'え', 'お', 'か', 'き', 'く', 'け', 'こ', 'さ', 'し',
                   'す', 'せ', 'そ'],
-                 categories=['あ', 'い', 'う', 'え', ..., 'し', 'す', 'せ', 'そ'], ordered=False, dtype='category')"""ory')"""  # noqa: E501
+                 categories=['あ', 'い', 'う', 'え', ..., 'し', 'す', 'せ', 'そ'], ordered=False, dtype='category')"""
 
         assert repr(idx) == expected
 
@@ -88,7 +92,7 @@ def test_string_categorical_index_repr(self):
                   'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう',
                   'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい',
                   'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう'],
-                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category')"""ory')"""  # noqa: E501
+                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category')"""
 
             assert repr(idx) == expected
 
@@ -99,14 +103,14 @@ def test_string_categorical_index_repr(self):
                   ...
                   'ううう', 'あ', 'いい', 'ううう', 'あ', 'いい', 'ううう',
                   'あ', 'いい', 'ううう'],
-                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category', length=300)"""ength=300)"""  # noqa: E501
+                 categories=['あ', 'いい', 'ううう'], ordered=False, dtype='category', length=300)"""
 
             assert repr(idx) == expected
 
             # larger categories
             idx = CategoricalIndex(list("あいうえおかきくけこさしすせそ"))
             expected = """CategoricalIndex(['あ', 'い', 'う', 'え', 'お', 'か', 'き', 'く', 'け', 'こ',
                   'さ', 'し', 'す', 'せ', 'そ'],
-                 categories=['あ', 'い', 'う', 'え', ..., 'し', 'す', 'せ', 'そ'], ordered=False, dtype='category')""")"""  # noqa: E501
+                 categories=['あ', 'い', 'う', 'え', ..., 'し', 'す', 'せ', 'そ'], ordered=False, dtype='category')"""
 
             assert repr(idx) == expected

pandas/tests/io/parser/usecols/test_strings.py

@@ -79,7 +79,7 @@ def test_usecols_with_multi_byte_characters(all_parsers):
     data = """あああ,いい,ううう,ええええ
 0.056674973,8,True,a
 2.613230982,2,False,b
-3.568935038,7,False,a"""e,a"""
+3.568935038,7,False,a"""
     parser = all_parsers
 
     exp_data = {