Fix: is_float_dtypes and is_numeric_dtype wrong place

Fixed wrong location of is_float_dtypes and is_numeric_dtypes.

Author: jaehoonhwang

pandas/core/internals.py

@@ -21,6 +21,7 @@
                                  is_datetime64tz_dtype,
                                  is_object_dtype,
                                  is_datetimelike_v_numeric,
+                                 is_float_dtype, is_numeric_dtype,
                                  is_numeric_v_string_like, is_extension_type,
                                  is_list_like,
                                  is_re,
@@ -31,7 +32,6 @@
                                _maybe_convert_string_to_object,
                                _maybe_upcast,
                                _maybe_convert_scalar, _maybe_promote,
-                               is_float_dtype, is_numeric_dtype,
                                _infer_dtype_from_scalar,
                                _soft_convert_objects,
                                _possibly_convert_objects,

pandas/tests/tools/test_concat.py

@@ -1933,8 +1933,8 @@ def test_concat_no_unnecessary_upcats(self):
             objs.append(pdt(np.array([1], dtype=np.float16, ndmin=dims)))
             self.assertTrue(pd.concat(objs).values.dtype == np.float64)
 
-    @parametrize('dtype', np.sctypes('float'))
-    @parametrize('klass', [Series, DataFrame, Panel])
+    @pytest.mark.parametrize('dtype', np.sctypes('float'))
+    @pytest.mark.parametrize('klass', [Series, DataFrame, Panel])
     def test_concat_no_unnecessary_upcats_pytest(self, dtype, klass):
         # GH 13247
         for pdt in klass: