add issue number

Author: topper-123

doc/source/whatsnew/v1.2.0.rst

@@ -219,7 +219,7 @@ Deprecations
 Performance improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
-- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`)
+- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`, :issue:`36325`)
 - Performance improvement in :meth:`GroupBy.agg` with the ``numba`` engine (:issue:`35759`)
 - Performance improvements when creating :meth:`pd.Series.map` from a huge dictionary (:issue:`34717`)
 - Performance improvement in :meth:`GroupBy.transform` with the ``numba`` engine (:issue:`36240`)

pandas/core/arrays/string_.py

@@ -165,11 +165,11 @@ class StringArray(PandasArray):
     ['1', '1']
     Length: 2, dtype: string
 
-    Instantiating StringArrays directly with non-strings will raise an error unless
-    ``convert=True``.
+    Instantiating StringArrays directly with non-strings arrays  will raise an error
+    unless ``convert=True``.
 
-    >>> pd.arrays.StringArray(['1', 1])
-    TypeError: Argument 'values' has incorrect type (expected numpy.ndarray, got list)
+    >>> pd.arrays.StringArray(np.array(['1', 1], dtype=object))
+    ValueError: StringArray requires a sequence of strings or pandas.NA
     >>> pd.arrays.StringArray(['1', 1], convert=True)
     <StringArray>
     ['1', '1']