diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index 2ebd6fb62b424..8d0adccfd480d 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -325,6 +325,7 @@ Bug fixes
 - Fixed bug in :class:`SparseDtype` for equal comparison with na fill value. (:issue:`54770`)
 - Fixed bug in :meth:`.DataFrameGroupBy.median` where nat values gave an incorrect result. (:issue:`57926`)
 - Fixed bug in :meth:`DataFrame.cumsum` which was raising ``IndexError`` if dtype is ``timedelta64[ns]`` (:issue:`57956`)
+- Fixed bug in :meth:`DataFrame.eval` and :meth:`DataFrame.query` which caused an exception when using NumPy attributes via ``@`` notation, e.g., ``df.eval("@np.floor(a)")``. (:issue:`58041`)
 - Fixed bug in :meth:`DataFrame.join` inconsistently setting result index name (:issue:`55815`)
 - Fixed bug in :meth:`DataFrame.to_string` that raised ``StopIteration`` with nested DataFrames. (:issue:`16098`)
 - Fixed bug in :meth:`DataFrame.transform` that was returning the wrong order unless the index was monotonically increasing. (:issue:`57069`)
diff --git a/pandas/core/computation/ops.py b/pandas/core/computation/ops.py
index cd9aa1833d586..7d8e23abf43b6 100644
--- a/pandas/core/computation/ops.py
+++ b/pandas/core/computation/ops.py
@@ -115,7 +115,7 @@ def _resolve_name(self):
         res = self.env.resolve(local_name, is_local=is_local)
         self.update(res)
 
-        if hasattr(res, "ndim") and res.ndim > 2:
+        if hasattr(res, "ndim") and isinstance(res.ndim, int) and res.ndim > 2:
             raise NotImplementedError(
                 "N-dimensional objects, where N > 2, are not supported with eval"
             )
diff --git a/pandas/tests/frame/test_query_eval.py b/pandas/tests/frame/test_query_eval.py
index d2e36eb6147e7..94e8e469f21e7 100644
--- a/pandas/tests/frame/test_query_eval.py
+++ b/pandas/tests/frame/test_query_eval.py
@@ -188,6 +188,16 @@ def test_eval_object_dtype_binop(self):
         expected = DataFrame({"a1": ["Y", "N"], "c": [True, False]})
         tm.assert_frame_equal(res, expected)
 
+    def test_using_numpy(self, engine, parser):
+        # GH 58041
+        skip_if_no_pandas_parser(parser)
+        df = Series([0.2, 1.5, 2.8], name="a").to_frame()
+        res = df.eval("@np.floor(a)", engine=engine, parser=parser)
+        expected = np.floor(df["a"])
+        if engine == "numexpr":
+            expected.name = None  # See GH 58069
+        tm.assert_series_equal(expected, res)
+
 
 class TestDataFrameQueryWithMultiIndex:
     def test_query_with_named_multiindex(self, parser, engine):