类型错误：draw_networkx_labels() 得到了一个意外的关键字参数“node_color”

如何解决类型错误：draw_networkx_labels() 得到了一个意外的关键字参数“node_color”

我正在使用 networkx 包来计算社区网络的频率计数，使用余弦相似度下面是我尝试绘制网络图的代码部分，但出现此错误。

S=nx.Graph()   #   draws the community detection graph
S.add_nodes_from(names)
S.add_weighted_edges_from(sim_edges)

pos1 = nx.spring_layout(S) 

plt.figure(figsize=(10,10),dpi=200)
part = community_louvain.best_partition(S) 
values = [part.get(node) for node in S.nodes()] 
nx.draw_networkx_nodes(S,pos=pos1,node_color = values,node_size=8400,cmap =cmap1)
nx.draw_networkx_labels(S,font_size=10)
nx.draw_networkx_edges(S,edgelist=edge_weights.keys(),width=list(edge_weights.values())) 
plt.axis('off')

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-32-ae3fd091a221> in <module>
     47 values = [part.get(node) for node in S.nodes()] #get all names in network go to the partition get entry from the partitionget entry with node name - values is a list of entries that were the value in partition got by looking up each node name in network
     48 nx.draw_networkx_nodes(S,cmap =cmap1) #colour nodes by which community they in
---> 49 nx.draw_networkx_labels(S,font_size=10)
     50 nx.draw_networkx_edges(S,width=list(edge_weights.values())) #keys are the edges and weights are values -edge weight dcitionary get edges and values
     51 plt.axis('off')

TypeError: draw_networkx_labels() got an unexpected keyword argument 'node_color'

解决方法

来自网络X documentation on draw_networkx_labels,
可用参数不包括 node_color，如果需要，您可以更改字体颜色及其透明度：

font_color (string) – 字体颜色字符串（默认 = 'k' black）
alpha (float or None) – 文本透明度（默认=无）