BUG: raise TypeError when array not like 1D in pandas.array

Author: antareepsarkar

pandas/core/construction.py

@@ -321,6 +321,12 @@ def array(
             return data.copy()
         return data
 
+    # to avoid returning an array of string representation of objects.
+    if dtype == StringDtype():
+        ndarr = np.array(data)
+        if ndarr.ndim != 1:
+            raise TypeError("Values must be a 1D list-like")
+
     if isinstance(dtype, ExtensionDtype):
         cls = dtype.construct_array_type()
         return cls._from_sequence(data, dtype=dtype, copy=copy)

pandas/tests/arrays/test_array.py

@@ -460,6 +460,12 @@ def test_nd_raises(data):
         pd.array(data, dtype="int64")
 
 
+@pytest.mark.parametrize("data", [[["a"], ["b"]]])
+def test_not_1D_like_raises(data):
+    with pytest.raises(TypeError, match="Values must be a 1D list-like"):
+        pd.array(data, dtype=pd.StringDtype())
+
+
 def test_scalar_raises():
     with pytest.raises(ValueError, match="Cannot pass scalar '1'"):
         pd.array(1)