accomodate numpy scalar

Author: jreback

pandas/core/series.py

@@ -234,10 +234,18 @@ def __init__(self, data=None, index=None, dtype=None, name=None,
                 if not is_list_like(data):
                     data = [data]
                 index = com._default_index(len(data))
-            elif is_list_like(data) and len(index) != len(data):
-                    raise ValueError('Length of passed values is {val}, '
-                                     'index implies {ind}'
-                                     .format(val=len(data), ind=len(index)))
+            elif is_list_like(data):
+
+                # a scalar numpy array is list-like but doesn't
+                # have a proper length
+                try:
+                    if len(index) != len(data):
+                        raise ValueError(
+                            'Length of passed values is {val}, '
+                            'index implies {ind}'
+                            .format(val=len(data), ind=len(index)))
+                except TypeError:
+                    pass
 
             # create/copy the manager
             if isinstance(data, SingleBlockManager):

pandas/tests/series/test_constructors.py

@@ -414,6 +414,14 @@ def test_constructor_index_mismatch(self, input):
         with pytest.raises(ValueError, message=msg):
             Series(input, index=np.arange(4))
 
+    def test_constructor_numpy_scalar(self):
+        # GH 19342
+        # construction with a numpy scalar
+        # should not raise
+        result = Series(np.array(100), index=np.arange(4))
+        expected = Series(100, index=np.arange(4))
+        tm.assert_series_equal(result, expected)
+
     def test_constructor_corner(self):
         df = tm.makeTimeDataFrame()
         objs = [df, df]