Added whatsnew and ran pre-commit

Author: Ma-gi-cian

doc/source/whatsnew/v3.0.0.rst

@@ -1037,6 +1037,7 @@ Conversion
 - Bug in :meth:`DataFrame.astype` not casting ``values`` for Arrow-based dictionary dtype correctly (:issue:`58479`)
 - Bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`)
 - Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`)
+- Bug in :meth:`Series.convert_dtypes` and :meth:`DataFrame.convert_dtypes` raising ``TypeError`` when called on data with complex dtype (:issue:`60129`)
 - Bug in :meth:`Series.convert_dtypes` and :meth:`DataFrame.convert_dtypes` removing timezone information for objects with :class:`ArrowDtype` (:issue:`60237`)
 - Bug in :meth:`Series.reindex` not maintaining ``float32`` type when a ``reindex`` introduces a missing value (:issue:`45857`)
 - Bug in :meth:`to_datetime` and :meth:`to_timedelta` with input ``None`` returning ``None`` instead of ``NaT``, inconsistent with other conversion methods (:issue:`23055`)

pandas/core/dtypes/cast.py

@@ -934,8 +934,7 @@ def convert_dtypes(
     if (
         convert_string or convert_integer or convert_boolean or convert_floating
     ) and isinstance(input_array, np.ndarray):
-
-        if input_array.dtype.kind == 'c':
+        if input_array.dtype.kind == "c":
             return input_array.dtype
 
         if input_array.dtype == object:

pandas/tests/frame/methods/test_convert_dtypes.py

@@ -231,7 +231,7 @@ def test_convert_dtype_pyarrow_timezone_preserve(self):
 
     def test_convert_dtypes_complex(self):
         # GH 60129
-        df = pd.DataFrame({'a': [1.0+5.0j, 1.5-3.0j]})
+        df = pd.DataFrame({"a": [1.0 + 5.0j, 1.5 - 3.0j]})
         result = df.convert_dtypes()
         tm.assert_frame_equal(result, df)
-        assert result['a'].dtype.kind == 'c'
+        assert result["a"].dtype.kind == "c"

pandas/tests/series/methods/test_convert_dtypes.py

@@ -335,7 +335,7 @@ def test_convert_dtype_pyarrow_timezone_preserve(self):
 
     def test_convert_dtypes_complex(self):
         # GH 60129
-        ser = pd.Series([1.5+3.0j, 1.5-3.0j])
+        ser = pd.Series([1.5 + 3.0j, 1.5 - 3.0j])
         result = ser.convert_dtypes()
         tm.assert_series_equal(result, ser)
-        assert result.dtype.kind == 'c'
+        assert result.dtype.kind == "c"