Networkx：为图表中的社区（节点）指定颜色

Question

我想为检测到的每个社区绘制一个带有彩色节点的网络（我已经为每个社区提供了节点列表。）

我现在所拥有的是这样的：

plot = nx.draw(G3, nodecolor='r', node_color= 'white', edge_color='k',
         with_labels=True, font_weight='light', node_size= 280, width= 0.9)
plt.savefig('graphe.png')
plt.show()

我如何以每个社区采用特定颜色的方式实现它？

Answer 1

你很亲密。您只需要一次绘制一组节点，一个社区。 此外，由于我们正在逐步绘制它，我们必须修复节点的位置。 为此，我们使用nx.spring_layout()

这是一个帮助您跟进虚拟数据的工作示例。

node_lists_community1 = [1,2,3, 4]
node_lists_community2 = [5, 6, 7]
node_lists_community3 = [8,10,11,12, 13]
all_nodes = node_lists_community1+ node_lists_community2+ node_lists_community3

#list of edges
elist = [(1,2), (1,3), (2,4), (2, 5), (5,6), (6,7),
        (7,9), (8,10), (8,11), (11,13), (12,13)]

#create the networkx Graph with node types and specifying edge distances
G3 = nx.Graph()
for n in all_nodes:
    G3.add_node(n)
for from_loc, to_loc in elist:
    G3.add_edge(from_loc, to_loc)   

pos = nx.spring_layout(G3) #calculate position for each node
# pos is needed because we are going to draw a few nodes at a time,
# pos fixes their positions.

# Notice that the pos dict is passed to each call to draw below

# Draw the graph, but don't color the nodes
nx.draw(G3, pos, edge_color='k',  with_labels=True,
         font_weight='light', node_size= 280, width= 0.9)

#For each community list, draw the nodes, giving it a specific color.
nx.draw_networkx_nodes(G3, pos, nodelist=node_lists_community1, node_color='b')
nx.draw_networkx_nodes(G3, pos, nodelist=node_lists_community2, node_color='r')
nx.draw_networkx_nodes(G3, pos, nodelist=node_lists_community3, node_color='g')

plt.savefig('graphe.png')
plt.show()

请询问是否有不明确的事情。