Networkx-使用节点列表绘制节点时出现问题

Question

我有一个这样的嵌套元组：

mostfrequent = (('16.37.97.17', '178.237.19.228', '55177', '443', '6', '1', '46'), ('16.37.97.17', '178.237.17.97', '44492', '443', '6', '1', '46'), ('16.37.97.29', '178.237.17.61', '56326', '443', '6', '1', '46'), ('16.37.97.222', '104.131.44.62', '60179', '80', '6', '2', '620'), ('16.37.93.196', '16.37.157.74', '2049', '691', '6', '1', '100'))

我想使用通过节点列表声明的networkx绘制每个子元组的每个元素：

nx.draw_networkx_nodes(G, pos, nodelist=flattened_list_nodes, node_size=1600, node_color='blue', alpha=0.6)

为此，我将元组A展平为一个列表（每个元素仅出现一次）：

flattened_list_nodes = ['16.37.97.17', '178.237.19.228', '55177', '443', '6', '1', '46', '178.237.17.97', '44492', '16.37.97.29', '178.237.17.61', '56326', '16.37.97.222', '104.131.44.62', '60179', '80', '2', '620', '16.37.93.196', '16.37.157.74', '2049', '691', '100']

虽然我运行它，但出现错误：

raise nx.NetworkXError('Node %s has no position.' % e)
networkx.exception.NetworkXError: Node '16.37.97.17' has no position.

我该如何解决？

我的完整代码：

for x in xrange(5):
    G.add_edge('sIP:\n'+mostfrequent[x][0], countermfi[x])
    G.add_edge('dIP:\n'+mostfrequent[x][1], countermfi[x])
    G.add_edge('sPort:\n'+mostfrequent[x][2], countermfi[x])
    G.add_edge('dPort:\n'+mostfrequent[x][3], countermfi[x])
    G.add_edge('Protocol:\n'+mostfrequent[x][4], countermfi[x])
    G.add_edge('Packets:\n'+mostfrequent[x][5], countermfi[x])
    G.add_edge('Bytes:\n'+mostfrequent[x][6], countermfi[x])


pos = nx.kamada_kawai_layout(G)  # positions for all nodes

#Hyperedges
nx.draw_networkx_nodes(G, pos, nodelist=countermfi, node_size=node_size, node_color='red', node_shape='s', alpha=1)             

#Nodes          
nx.draw_networkx_nodes(G, pos, nodelist=flattened_list_nodes, node_size=1600, node_color='blue', alpha=0.6)             

#Edges
nx.draw_networkx_edges(G, pos, edgelist=G.edges(), width=2)

#Labels
nx.draw_networkx_labels(G, pos, font_size=11, font_family='sans-serif')
plt.axis('off')
plt.show()

预先感谢您， 问候：）

Answer 1

IIUC：

首先创建图形G：

G = nx.Graph()

G.add_nodes_from(flattened_list_nodes)

pos = nx.kamada_kawai_layout(G)

nx.draw_networkx_nodes(G, pos, nodelist=flattened_list_nodes, node_size=1600, node_color='blue', alpha=0.6)

输出：