Remove product code update

Author: kotamatsuoka

pandas/core/algorithms.py

@@ -712,14 +712,12 @@ def value_counts(
         else:
             keys, counts = _value_counts_arraylike(values, dropna)
 
-            result = Series(counts, index=keys, name=name, dtype="Int64")
+            result = Series(counts, index=keys, name=name)
 
     if sort:
         result = result.sort_values(ascending=ascending)
 
     if normalize:
-        if not isinstance(counts, np.ndarray):
-            counts = counts.to_numpy()
         result = result / float(counts.sum())
     else:
         result = result.astype("Int64")

pandas/core/groupby/generic.py

@@ -757,15 +757,12 @@ def value_counts(
             mi = MultiIndex(
                 levels=levels, codes=codes, names=names, verify_integrity=False
             )
+            dtype = "float64"
 
             if is_integer_dtype(out):
-                return Series(
-                    ensure_int64(out),
-                    index=mi,
-                    name=self._selection_name,
-                    dtype="Int64",
-                )
-            return Series(out, index=mi, name=self._selection_name)
+                out = ensure_int64(out)
+                dtype = "Int64"
+            return Series(out, index=mi, name=self._selection_name, dtype=dtype)
 
         # for compat. with libgroupby.value_counts need to ensure every
         # bin is present at every index level, null filled with zeros
@@ -794,13 +791,12 @@ def build_codes(lev_codes: np.ndarray) -> np.ndarray:
         codes.append(left[-1])
 
         mi = MultiIndex(levels=levels, codes=codes, names=names, verify_integrity=False)
+        dtype = "float64"
 
         if is_integer_dtype(out):
-            return Series(
-                ensure_int64(out), index=mi, name=self._selection_name, dtype="Int64"
-            )
-
-        return Series(out, index=mi, name=self._selection_name)
+            out = ensure_int64(out)
+            dtype = "Int64"
+        return Series(out, index=mi, name=self._selection_name, dtype=dtype)
 
     def count(self) -> Series:
         """

pandas/tests/extension/base/methods.py

@@ -35,7 +35,7 @@ def test_value_counts(self, all_data, dropna):
         )
 
         expected = pd.Series([1 / len(other)] * len(other), index=result.index)
-        self.assert_series_equal(expected, result)
+        self.assert_series_equal(result, expected)
 
     def test_count(self, data_missing):
         df = pd.DataFrame({"A": data_missing})