添加节点时出现 NetworkX 错误："unhashable type: 'dict'"和"ValueError: too many values to unpack (expected 2)"

Question

在运行下面的NetworkX python 3.5代码(在Jupyter中(时，我得到了一个我不太理解的错误。任何帮助将不胜感激。

import pandas as pd
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
import os, warnings     
warnings.filterwarnings('ignore')
%matplotlib inline
%config InlineBackend.figure_format = 'retina'

## NODES
a = [ (  'a_%d' % i, {'a' : i}) for i in range(0,5) ]
b = [ (  'b_%d' % i, {'b' : i}) for i in range(0,5) ]
c = [ (  'c_%d' % i, {'c' : i}) for i in range(0,5) ]
d = [ (  'd_%d' % i, {'d' : i}) for i in range(0,5) ]
E = [ (  'E_%d' % h, {'a': i}, {'b': j}, {'c': k}, {'d': l} )
        for h in range(1,626) for i in range(0,5) 
        for j in range(0,5) for k in range(0,5) 
        for l in range(0,5) ]
## GRAPH initialization
testgraph = nx.Graph()
list_of_nodegroups = [a, b, c , d, E]

这就是它失败的地方：

## GRAPH construction - adding nodes
for ng1 in list_of_nodegroups1:
    testgraph.add_nodes_from(ng1)

我收到此错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/usr/local/lib/python3.5/dist-packages/networkx/classes/graph.py in add_nodes_from(self, nodes_for_adding, **attr)
    535             try:
--> 536                 if n not in self._node:
    537                     self._adj[n] = self.adjlist_inner_dict_factory()
TypeError: unhashable type: 'dict'
During handling of the above exception, another exception occurred:
ValueError                                Traceback (most recent call last)
<ipython-input-10-718f064c86a3> in <module>()
      1 for ng1 in list_of_nodegroups:
----> 2     testgraph.add_nodes_from(ng1)
/usr/local/lib/python3.5/dist-packages/networkx/classes/graph.py in add_nodes_from(self, nodes_for_adding, **attr)
    540                     self._node[n].update(attr)
    541             except TypeError:
--> 542                 nn, ndict = n
    543                 if nn not in self._node:
    544                     self._adj[nn] = self.adjlist_inner_dict_factory()
    ValueError: too many values to unpack (expected 2)

参考(据我了解(两件事：

">
• 不可散列类型："字典"
• "值错误：要解压缩的值太多(预期 2(">

我正在尝试弄清楚如何解决这个问题，无论是在此代码中还是在其他地方，非常感谢任何帮助！

编辑：

我的目标是有一个由 4 种类型的"子节点"组成的图，即 a、b、c、d 和 1 种类型的"母节点"(即 E(，如下所示：

[ ('E1', {'a0': 0, 'b0': 0, 'c0': 0, 'd0': 0} ),
  ('E2', {'a1': 1, 'b0': 0, 'c0': 0, 'd0': 0} ),
  ('E3', {'a1': 1, 'b1': 1, 'c0': 0, 'd0': 0} ),
   ...
  ('E625', {'a5': 5, 'b5': 5, 'c5': 5, 'd5': 5} ),
]

Answer 1

> Graph.add_nodes_from(nodes_for_adding, **attr)文档：nodes_for_adding(可迭代容器(——节点的容器(列表、字典、集合等(。OR (节点、属性字典(元组的容器。节点属性使用属性字典进行更新。

列表中的每个元素E都是一个包含 1 个节点和 4 个字典的元组，而add_nodes_from只接受一个字典。这 4 个词典应合并为一个词典：{'a': i, 'b': j, 'c': k, 'd': l} .

此外，列表E有 625 个× 5⁴ = 390625 个元素。这是您的意图，还是您正在尝试枚举节点？如果要枚举，它不会按预期工作。相反，请使用

from itertools import product
E = [('E_%d' % h, {'a': i, 'b': j, 'c': k, 'd': l})
     for h, (i, j, k, l) in enumerate(product(range(5), repeat=4), start=1)]