Use to_datetime instead of dtype=“datetime64[D]”

Author: mgmarino

pandas/core/indexes/accessors.py

@@ -239,15 +239,15 @@ def isocalendar(self):
 
         Examples
         --------
-        >>> pd.Series(["2020-01-01"], dtype="datetime64[D]").dt.isocalendar
+        >>> pd.to_datetime(pd.Series(["2020-01-01"])).dt.isocalendar
            year  week  day
         0  2020     1    3
-        >>> ser = pd.Series(["2010-01-01", pd.NaT], dtype="datetime64[D]")
+        >>> ser = pd.to_datetime(pd.Series(["2010-01-01", pd.NaT]))
         >>> ser.dt.isocalendar
              year  week  day
         0  2009.0  53.0  5.0
         1     NaN   NaN  NaN
-        >>> pd.Series(["2019-12-31"], dtype="datetime64[D]").dt.isocalendar.week
+        >>> pd.to_datetime(pd.Series(["2019-12-31"])).dt.isocalendar.week
         0    1
         Name: week, dtype: int32
         """

pandas/tests/series/test_datetime_values.py

@@ -682,7 +682,7 @@ def test_setitem_with_different_tz(self):
         ],
     )
     def test_isocalendar(self, input_series, expected_output, expected_type):
-        ser = pd.Series(input_series, dtype="datetime64[D]")
+        ser = pd.to_datetime(pd.Series(input_series))
         expected_frame = pd.DataFrame(
             expected_output, columns=["year", "week", "day"]
         ).astype(expected_type)