reverting newline in Series.convert_dtypes and precising respective docs in whatsnew

veljanin · veljanin · commit a5b388263b4c · 2024-10-07T08:20:04.000+02:00
diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
@@ -544,7 +544,7 @@ Bug fixes
 
 Categorical
 ^^^^^^^^^^^
-- Bug in :func:`convert_dtypes` with ``dtype_backend='pyarrow'`` parameter where empty categorical series raise error or get converted to null[pyarrow] (:issue:`59934`)
+- Bug in :meth:`Series.convert_dtypes` with ``dtype_backend='pyarrow'`` parameter where empty categorical series raise error or get converted to null[pyarrow] (:issue:`59934`)
 -
 
 Datetimelike
diff --git a/pandas/core/dtypes/cast.py b/pandas/core/dtypes/cast.py
@@ -1152,7 +1152,6 @@ def convert_dtypes(
                 pa_type = to_pyarrow_type(base_dtype)
             if pa_type is not None:
                 inferred_dtype = ArrowDtype(pa_type)
-
     elif dtype_backend == "numpy_nullable" and isinstance(inferred_dtype, ArrowDtype):
         # GH 53648
         inferred_dtype = _arrow_dtype_mapping()[inferred_dtype.pyarrow_dtype]

Original file line number	Diff line number	Diff line change
`@@ -544,7 +544,7 @@ Bug fixes`
`544`	`544`
`545`	`545`	`Categorical`
`546`	`546`	`^^^^^^^^^^^`
`547`		-- Bug in :func:`convert_dtypes` with ``dtype_backend='pyarrow'`` parameter where empty categorical series raise error or get converted to null[pyarrow] (:issue:`59934`)
	`547`	+- Bug in :meth:`Series.convert_dtypes` with ``dtype_backend='pyarrow'`` parameter where empty categorical series raise error or get converted to null[pyarrow] (:issue:`59934`)
`548`	`548`	`-`
`549`	`549`
`550`	`550`	`Datetimelike`