--- networkx/convert_matrix.py.orig	2019-04-11 14:52:34.000000000 -0600
+++ networkx/convert_matrix.py	2019-09-11 09:40:18.967671622 -0600
@@ -560,7 +560,7 @@ def from_numpy_matrix(A, parallel_edges=
     edges = map(lambda e: (int(e[0]), int(e[1])),
                 zip(*(np.asarray(A).nonzero())))
     # handle numpy constructed data type
-    if python_type is 'void':
+    if python_type == 'void':
         # Sort the fields by their offset, then by dtype, then by name.
         fields = sorted((offset, dtype, name) for name, (dtype, offset) in
                         A.dtype.fields.items())
--- networkx/drawing/nx_pydot.py.orig	2019-04-11 14:52:34.000000000 -0600
+++ networkx/drawing/nx_pydot.py	2019-09-11 09:40:50.592150597 -0600
@@ -199,7 +199,7 @@ def to_pydot(N):
 
     name = N.name
     graph_defaults = N.graph.get('graph', {})
-    if name is '':
+    if name == '':
         P = pydot.Dot('', graph_type=graph_type, strict=strict,
                       **graph_defaults)
     else: