fixing some formatting things

Author: gabrielvf1

pandas/core/algorithms.py

@@ -429,7 +429,7 @@ def isin(comps: AnyArrayLike, values: AnyArrayLike) -> np.ndarray:
         # handle categoricals
         return comps.isin(values)  # type: ignore
     try:
-        if comps.dtype.name == 'int64':
+        if comps.dtype.name == "int64":
             comps, dtype = _ensure_data(comps, dtype=object)
         else:
             comps, dtype = _ensure_data(comps)
@@ -2090,4 +2090,3 @@ def sort_mixed(values):
         np.putmask(new_codes, mask, na_sentinel)
 
     return ordered, ensure_platform_int(new_codes)
-

pandas/tests/frame/methods/test_isin.py

@@ -191,15 +191,13 @@ def test_isin_empty_datetimelike(self):
         tm.assert_frame_equal(result, expected)
 
     def test_isin_int_df_string_search(self):
-        #Comparing df with int`s (1,2) with a string at isin() ("1") -> should not match values because int 1 is not equal str 1
-        df = pd.DataFrame({"values": [1,2]})
+        # Comparing df with int`s (1,2) with a string at isin() ("1") -> should not match values because int 1 is not equal str 1
+        df = DataFrame({"values": [1, 2]})
         result = df.isin(["1"])
         expected_false = pd.DataFrame({"values": [False, False]})
         tm.assert_frame_equal(result, expected_false)
 
-        #Comparing df with int`s with a int at isin() -> should be fine
+        # Comparing df with int`s with a int at isin() -> should be fine
         result = df.isin([1])
-        expected_true = pd.DataFrame({"values": [True, False]})
+        expected_true = DataFrame({"values": [True, False]})
         tm.assert_frame_equal(result, expected_true)
-
-