precommit workflow

pandas/tests/indexing/test_loc.py

@@ -3298,21 +3298,21 @@ def test_loc_reindexing_of_empty_index(self):
         expected = DataFrame(index=[1, 1, 2, 2], data=["1", "1", "2", "2"])
         tm.assert_frame_equal(df, expected)
 
-    def test_loc_setitem_matching_index(self,series_with_simple_index): 
+    def test_loc_setitem_matching_index(self, series_with_simple_index):
         # GH 25548
-        ser1=series_with_simple_index.copy()
-        ser1=ser1[~ser1.index.duplicated(keep='first')]
-        ser2=ser1.copy()
+        ser1 = series_with_simple_index.copy()
+        ser1 = ser1[~ser1.index.duplicated(keep="first")]
+        ser2 = ser1.copy()
         # Testing on upto 2 indices
-        for nsize in range(1,min(len(ser1),3)):
-            random_sample=ser1.sample(n=nsize)
-            matching_mask=ser1.index.isin(random_sample.index)
+        for nsize in range(1, min(len(ser1), 3)):
+            random_sample = ser1.sample(n=nsize)
+            matching_mask = ser1.index.isin(random_sample.index)
             # Remove values at indices to test assignment
-            ser1.loc[matching_mask]=np.NaN
-            ser1.loc[matching_mask]=random_sample
-            tm.assert_series_equal(ser1,ser2)
-            #exclude row and index and test assignment of unmatched indices
-            exclude_mask=~matching_mask
-            ser2.loc[matching_mask]=ser1.loc[exclude_mask]
-            ser1.loc[matching_mask]=np.NaN
-            tm.assert_series_equal(ser2,ser1)
+            ser1.loc[matching_mask] = np.NaN
+            ser1.loc[matching_mask] = random_sample
+            tm.assert_series_equal(ser1, ser2)
+            # exclude row and index and test assignment of unmatched indices
+            exclude_mask = ~matching_mask
+            ser2.loc[matching_mask] = ser1.loc[exclude_mask]
+            ser1.loc[matching_mask] = np.NaN
+            tm.assert_series_equal(ser2, ser1)