Improve

Author: luke396

pandas/core/dtypes/cast.py

@@ -1012,7 +1012,7 @@ def convert_dtypes(
         object array contains pd.NA.
     dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable'
         Back-end data type applied to the resultant :class:`DataFrame`
-        (still experimental). If specified, the behavior is as follows:
+        (still experimental). Behavior is as follows:
 
         * ``"numpy_nullable"``: returns with nullable-dtype-backed
         * ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`

pandas/core/generic.py

@@ -6652,8 +6652,8 @@ def convert_dtypes(
             If `convert_integer` is also True, preference will be give to integer
             dtypes if the floats can be faithfully casted to integers.
         dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable'
-            Back-end data type applied to the resultant :class:`DataFrame`
-            (still experimental). If specified, the behavior is as follows:
+            Back-end data type applied to the resultant :class:`DataFrame` or
+            :class:`Series` (still experimental). Behavior is as follows:
 
             * ``"numpy_nullable"``: returns with nullable-dtype-backed
             * ``"pyarrow"``: returns with pyarrow-backed nullable :class:`ArrowDtype`