如何在Python networkx中在节点名称旁边添加节点属性？

我想画一个连接同事和电影偏好的二分图。如何在图中同时显示节点名称（即moviename或同事名称）和节点属性（无论是同事还是电影）

我的当前代码仅显示节点属性并删除节点名称

我的代码：

BG = nx.Graph()
BG.add_nodes_from(employees, bipartite=0, _type='employee')
BG.add_nodes_from(movies, bipartite=1, _type='movie')
edgeinfo = pd.read_csv('Employee_Movie_Choices.txt', sep='\t')
edges = [tuple(x) for x in edgeinfo.values]
BG.add_edges_from(edges)

labels = dict((n,d['_type']) for n,d in BG.nodes(data=True))

%matplotlib notebook
import matplotlib.pyplot as plt

plt.figure()
pos = nx.spring_layout(BG)
edges = BG.edges()
nx.draw_networkx(BG, pos, edges=edges, labels=labels)

如果我创建标签元组，他会给我一个错误：

BG = nx.Graph()
BG.add_nodes_from(employees, bipartite=0, _type='employee')
BG.add_nodes_from(movies, bipartite=1, _type='movie')
edgeinfo = pd.read_csv('Employee_Movie_Choices.txt', sep='\t')
edges = [tuple(x) for x in edgeinfo.values]
BG.add_edges_from(edges)

labels = dict((n,d['_type']) for n,d in BG.nodes(data=True))  ###ik krijg hier naam movie en employee niet meer bij !!!
labels_new = [(k, v) for k, v in labels.items()]
#labels = [tuple(n,d['_type']) for n, d in BG.nodes(data=True)]
#nx.draw(BG, labels=labels)

%matplotlib notebook
import matplotlib.pyplot as plt

plt.figure()
pos = nx.spring_layout(BG)
edges = BG.edges()
nx.draw_networkx(BG, pos, edges=edges, labels=labels_new)

错误： --->nx.绘制网络x（背景、位置、边=边、标签=标签\u新）

---

AttributeError:“list”对象没有属性“items”

出现错误的原因

根据 ，

labels

需要是一个字典，而您输入的

labels\u new

是一个列表

标签（字典，可选（默认值=无））–节点中的节点标签 由文本标签节点键入的字典

根据你的代码

labels_new=[（k，v）表示labels.items（）中的k，v]

因此，出现错误

AttributeError:“list”对象没有属性“items”

解决方法：自定义

标签

字典

我没有数据，但可以快速破解

labels = dict((n, "(" + n + "," + d['_type'] + ")") for n,d in BG.nodes(data=True))

演示

参考

---

这起作用了！非常感谢你帮了我的忙！

import networkx as nx
from networkx.algorithms import bipartite
%matplotlib notebook
import matplotlib.pyplot as plt

BG = nx.Graph()
employees = [str(i) for i in range(3)]
movies = ["mA", "mB", "mC"]
BG.add_nodes_from(employees, bipartite=0, _type='emp')
BG.add_nodes_from(movies, bipartite=1, _type='mov')
edges = [("0", "mA"), ("0", "mC"), ("1", "mA"),("1", "mB"), ("2", "mA")]
BG.add_edges_from(edges)
labels = dict((n, "(" + n + "," + d['_type'] + ")") for n,d in BG.nodes(data=True))

# Setting up pos for drawing bipartite graph. See the reference for more info
X, Y = bipartite.sets(BG)
pos = dict()
pos.update( (n, (1, i)) for i, n in enumerate(X) ) # put nodes from X at x=1
pos.update( (n, (2, i)) for i, n in enumerate(Y) ) # put nodes from Y at x=2

plt.figure()
edges = BG.edges()
nx.draw_networkx(BG, pos, edges=edges, labels=labels)