check for ndim when dtype is object

Author: antareepsarkar

pandas/core/arrays/numpy_.py

@@ -122,9 +122,6 @@ def __init__(
             # Technically we support 2, but do not advertise that fact.
             raise ValueError("NumpyExtensionArray must be 1-dimensional.")
 
-        if (values.dtype == object and values.ndim != 1):
-            raise ValueError("NumpyExtensionArray must be 1-dimensional.")      
-
         if copy:
             values = values.copy()
 

pandas/core/construction.py

@@ -304,6 +304,8 @@ def array(
         raise ValueError(msg)
     elif isinstance(data, ABCDataFrame):
         raise TypeError("Cannot pass DataFrame to 'pandas.array'")
+    elif isinstance(data, np.ndarray) and data.ndim != 1 and dtype == object:
+        raise ValueError("NumpyExtensionArray must be 1-dimensional.")
 
     if dtype is None and isinstance(data, (ABCSeries, ABCIndex, ExtensionArray)):
         # Note: we exclude np.ndarray here, will do type inference on it