Fix is_list_like on zero-dim arrays pandas-dev#19011

Author: jbrockmendel

pandas/core/dtypes/inference.py

@@ -278,10 +278,15 @@ def is_list_like(obj):
     False
     >>> is_list_like(1)
     False
+    >>> is_list_like(np.array([2]))
+    True
+    >>> is_list_like(np.array(2)))
+    False
     """
 
     return (isinstance(obj, Iterable) and
-            not isinstance(obj, string_and_binary_types))
+            not isinstance(obj, string_and_binary_types) and
+            not (isinstance(obj, np.ndarray) and obj.ndim == 0))
 
 
 def is_array_like(obj):

pandas/tests/dtypes/test_inference.py

@@ -67,13 +67,14 @@ def __getitem__(self):
     [
         [], [1], (1, ), (1, 2), {'a': 1},
         set([1, 'a']), Series([1]),
-        Series([]), Series(['a']).str])
+        Series([]), Series(['a']).str,
+        np.array([2])])
 def test_is_list_like_passes(ll):
     assert inference.is_list_like(ll)
 
 
 @pytest.mark.parametrize(
-    "ll", [1, '2', object(), str])
+    "ll", [1, '2', object(), str, np.array(2)])
 def test_is_list_like_fails(ll):
     assert not inference.is_list_like(ll)