我遇到了同样的问题，如此处所述
Networkx Multigraph from_pandas_dataframe
虽然我在convert_matrix.py中替换了第211行，但“TypeError：unhashable type：'dict'”仍然存在。我想使用以下数据框（链接）构建MultiGraph：
1_id f v v_id_1 v_id_2
0 3483 50 38000 739 2232
1 3482 50 38000 717 2196
2 3482 50 22000 717 2196
3 3480 50 22000 1058 2250
data = {'1_id':[3483, 3482, 3482, 3480], 'v_id_1':[739, 717, 717, 1058], 'v_id_2':[2232,2196, 2196, 2250], 'v':[38000, 38000, 22000, 22000], 'f':[50, 50, 50, 50]}
links = pd.DataFrame(data)
G=nx.from_pandas_dataframe(links, 'v_id_1', 'v_id_2', edge_attr=['v','f'], create_using=nx.MultiGraph())
尝试创建MultiGraph我收到错误：
TypeError Traceback (most recent call last)
<ipython-input-49-d2c7b8312ea7> in <module>()
----> 1 MG= nx.from_pandas_dataframe(df, 'gene1', 'gene2', ['conf','type'], create_using=nx.MultiGraph())
/usr/lib/python2.7/site-packages/networkx-1.10-py2.7.egg/networkx/convert_matrix.pyc in from_pandas_dataframe(df, source, target, edge_attr, create_using)
209 # Iteration on values returns the rows as Numpy arrays
210 for row in df.values:
--> 211 g.add_edge(row[src_i], row[tar_i], {i:row[j] for i, j in edge_i})
212
213 # If no column names are given, then just return the edges.
/usr/lib/python2.7/site-packages/networkx-1.10-py2.7.egg/networkx/classes/multigraph.pyc in add_edge(self, u, v, key, attr_dict, **attr)
340 datadict.update(attr_dict)
341 keydict = self.edge_key_dict_factory()
--> 342 keydict[key] = datadict
343 self.adj[u][v] = keydict
344 self.adj[v][u] = keydict
TypeError: unhashable type: 'dict'