Alphabetical order for whatsnew, dtype=dtype instead of object

Author: Daquisu

doc/source/whatsnew/v2.0.1.rst

@@ -47,11 +47,11 @@ Bug fixes
 
 Other
 ~~~~~
+- Bug in :class:`Index` where creating or converting to numpy string dtypes would raise ``NotImplementedError`` (:issue:`50127`)
 - :class:`DataFrame` created from empty dicts had :attr:`~DataFrame.columns`  of dtype ``object``. It is now a :class:`RangeIndex` (:issue:`52404`)
 - :class:`Series` created from empty dicts had :attr:`~Series.index`  of dtype ``object``. It is now a :class:`RangeIndex` (:issue:`52404`)
 - Implemented :meth:`Series.str.split` and :meth:`Series.str.rsplit` for :class:`ArrowDtype` with ``pyarrow.string`` (:issue:`52401`)
 - Implemented most ``str`` accessor methods for :class:`ArrowDtype` with ``pyarrow.string`` (:issue:`52401`)
-- Bug in :class:`Index` where creating or converting to numpy string dtypes would raise ``NotImplementedError`` (:issue:`50127`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_201.contributors:

pandas/core/indexes/base.py

@@ -554,7 +554,7 @@ def __new__(
                 data = com.asarray_tuplesafe(data, dtype=_dtype_obj)
             elif dtype and dtype.kind == "S":
                 # GH#50127 we update data to a np.array with the correct dtype.
-                data = np.array(data, dtype=object, copy=copy)
+                data = np.array(data, dtype=dtype, copy=copy)
                 copy = False
                 dtype = _dtype_obj