diff --git a/py-polars/polars/utils/_construction.py b/py-polars/polars/utils/_construction.py
index 30abd67979cb..3097f91a8c2f 100644
--- a/py-polars/polars/utils/_construction.py
+++ b/py-polars/polars/utils/_construction.py
@@ -1447,7 +1447,10 @@ def numpy_to_pydf(
                 msg = f"`orient` must be one of {{'col', 'row', None}}, got {orient!r}"
                 raise ValueError(msg)
         else:
-            msg = f"cannot create DataFrame from array with more than two dimensions; shape = {shape}"
+            if shape == ():
+                msg = "cannot create DataFrame from zero-dimensional array"
+            else:
+                msg = f"cannot create DataFrame from array with more than two dimensions; shape = {shape}"
             raise ValueError(msg)
 
     if schema is not None and len(schema) != n_columns:
diff --git a/py-polars/tests/unit/interop/test_interop.py b/py-polars/tests/unit/interop/test_interop.py
index ee886455a67b..440772eaa54f 100644
--- a/py-polars/tests/unit/interop/test_interop.py
+++ b/py-polars/tests/unit/interop/test_interop.py
@@ -419,6 +419,15 @@ def test_from_numpy() -> None:
     assert df.shape == (3, 2)
     assert df.rows() == [(1, 4), (2, 5), (3, 6)]
     assert df.schema == {"a": pl.UInt32, "b": pl.UInt32}
+    with pytest.raises(
+        ValueError,
+        match="cannot create DataFrame from array with more than two dimensions",
+    ):
+        _ = pl.from_numpy(np.array([[[1]]]))
+    with pytest.raises(
+        ValueError, match="cannot create DataFrame from zero-dimensional array"
+    ):
+        _ = pl.from_numpy(np.array(1))
 
 
 def test_from_numpy_structured() -> None: