BUG: fix numpy deprecation warning for scalar datetime64 values

Author: fjetter

doc/source/whatsnew/v0.23.5.txt

@@ -26,7 +26,7 @@ Fixed Regressions
 - Calling :meth:`DataFrameGroupBy.rank` and :meth:`SeriesGroupBy.rank` with empty groups
   and ``pct=True`` was raising a ``ZeroDivisionError`` due to `c1068d9
   <https://github.com/pandas-dev/pandas/commit/c1068d9d242c22cb2199156f6fb82eb5759178ae>`_ (:issue:`22519`)
--
+- Constructing a Series with a numpy.datetime64 value will no longer issue a DeprecationWarning (:issue:`22741`)
 -
 
 

pandas/core/dtypes/cast.py

@@ -1042,7 +1042,7 @@ def maybe_cast_to_datetime(value, dtype, errors='raise'):
                                     "dtype [{dtype}]".format(dtype=dtype))
 
             if is_scalar(value):
-                if value == iNaT or isna(value):
+                if np.asscalar(value) == iNaT or isna(value):
                     value = iNaT
             else:
                 value = np.array(value, copy=False)