将标签与从NetworkX图生成的Bokeh图上的节点对齐

import networkx as nx
from bokeh.io import show, output_notebook
from bokeh.plotting import figure
from bokeh.models import LabelSet, ColumnDataSource

# 创建一个NetworkX图对象
G = nx.Graph()
G.add_nodes_from([1, 2, 3, 4])
G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1)])

# 使用Bokeh生成一个空白的图形对象
plot = figure(title="NetworkX Graph with Labels", x_range=(-1.5, 1.5), y_range=(-1.5, 1.5))

# 获取节点的坐标信息
pos = nx.spring_layout(G)

# 绘制节点
node_renderer = plot.circle(*zip(*pos.values()), size=20, color="skyblue")

# 创建标签数据源
labels = ['Node 1', 'Node 2', 'Node 3', 'Node 4']
label_source = ColumnDataSource(data=dict(x=list(pos.values()), y=list(pos.values()), labels=labels))

# 添加标签
labels = LabelSet(x='x', y='y', text='labels', level='glyph', source=label_source, render_mode='canvas')
plot.add_layout(labels)

# 显示图形
output_notebook()
show(plot)