Merge pull request #4 from CSCD01-team14/bugs/pandas-dev#32572

Pep8 update

Author: letapxad

pandas/tests/frame/methods/test_rank.py

@@ -332,24 +332,32 @@ def test_pct_max_many_rows(self):
 
     def test_rank_minus_inf_keep_nan(self):
         # GH 32593
-        expected_df = DataFrame({'col': np.array([2.0,  4.0, np.nan, 3.0, 1.0])})
-        result_df = DataFrame({'col': np.array([1,  np.inf, np.nan, 10, -np.inf])}).rank(na_option='keep')
+        expected_df = DataFrame({"col": np.array([2.0, 4.0, np.nan, 3.0, 1.0])})
+        result_df = DataFrame({"col": np.array([1, np.inf, np.nan, 10, -np.inf])}).rank(
+            na_option="keep"
+        )
         tm.assert_frame_equal(expected_df, result_df)
 
     def test_rank_inf_keep_nan(self):
         # GH 32593
-        expected_df = DataFrame({'col': np.array([1.0, 2.0, 3.0])})
-        result_df = DataFrame({'col': np.array([-np.inf, 0, np.inf])}).rank(na_option='keep')
+        expected_df = DataFrame({"col": np.array([1.0, 2.0, 3.0])})
+        result_df = DataFrame({"col": np.array([-np.inf, 0, np.inf])}).rank(
+            na_option="keep"
+        )
         tm.assert_frame_equal(expected_df, result_df)
 
     def test_rank_inf_bottom_nan(self):
         # GH 32593
-        expected_df = DataFrame({'col': np.array([1.0, 2.0, 4.0, 3.0])})
-        result_df = DataFrame({'col': np.array([-np.inf, 0, np.nan, np.inf])}).rank(na_option='bottom')
+        expected_df = DataFrame({"col": np.array([1.0, 2.0, 4.0, 3.0])})
+        result_df = DataFrame({"col": np.array([-np.inf, 0, np.nan, np.inf])}).rank(
+            na_option="bottom"
+        )
         tm.assert_frame_equal(expected_df, result_df)
 
     def test_rank_inf_decimal_nan(self):
         # GH 32593
-        expected_df = DataFrame({'col': np.array([2.0,3.0,4.5,6.0,1.0,4.5])})
-        result_df = DataFrame({'col': np.array([5.5, 6.99, np.inf, np.nan, 0.7, np.inf])}).rank(na_option='bottom')
-        tm.assert_frame_equal(expected_df, result_df)
+        expected_df = DataFrame({"col": np.array([2.0, 3.0, 4.5, 6.0, 1.0, 4.5])})
+        result_df = DataFrame(
+            {"col": np.array([5.5, 6.99, np.inf, np.nan, 0.7, np.inf])}
+        ).rank(na_option="bottom")
+        tm.assert_frame_equal(expected_df, result_df)