BUG: Fix DataFrame constructor misclassification of array-like with 'name' attribute

Previously, any object with a .name attribute (like some vtkArray-like objects) was assumed to be a Series or Index, causing the constructor to misinterpret the input.

This fix ensures we only apply the named-Index/Series logic when the input is actually an instance of ABCSeries or ABCIndex *and* has a non-None name.

Closes #61443.

Author: iabhi4

pandas/core/frame.py

@@ -116,6 +116,10 @@
     isna,
     notna,
 )
+from pandas.core.dtypes.generic import (
+    ABCSeries,
+    ABCIndex
+)
 
 from pandas.core import (
     algorithms,
@@ -795,7 +799,7 @@ def __init__(
                     dtype,
                     copy,
                 )
-            elif getattr(data, "name", None) is not None:
+            elif isinstance(data, (ABCSeries, ABCIndex)) and data.name is not None:
                 # i.e. Series/Index with non-None name
                 mgr = dict_to_mgr(
                     # error: Item "ndarray" of "Union[ndarray, Series, Index]" has no

pandas/tests/frame/test_constructors.py

@@ -2780,6 +2780,17 @@ def test_construction_nan_value_timedelta64_dtype(self):
         )
         tm.assert_frame_equal(result, expected)
 
+    def test_dataframe_from_array_like_with_name_attribute(self):
+        class DummyArray(np.ndarray):
+            def __new__(cls, input_array):
+                obj = np.asarray(input_array).view(cls)
+                obj.name = "foo"
+                return obj
+
+        dummy = DummyArray(np.eye(3))
+        df = DataFrame(dummy)
+        expected = DataFrame(np.eye(3))
+        tm.assert_frame_equal(df, expected)
 
 class TestDataFrameConstructorIndexInference:
     def test_frame_from_dict_of_series_overlapping_monthly_period_indexes(self):