Add conditional to check StringDtype

Author: antareepsarkar

pandas/core/construction.py

@@ -304,8 +304,10 @@ 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.")
+    elif isinstance(data, (list, tuple)) and dtype == StringDtype():
+        for i in data:
+            if isinstance(i, (np.ndarray, list, tuple)):
+                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

pandas/tests/arrays/test_array.py

@@ -455,7 +455,7 @@ def test_array_inference_fails(data):
     "data,dtype",
     [
         (np.array(0), "int64"),
-        (np.array([[1, 2], ["a", "b"]]), object),
+        ([["a"], ["b"]], pd.StringDtype()),
     ],
 )
 def test_nd_raises(data, dtype):