如何将标签名称添加到线标签？ 剧情：完整代码：

如何解决如何将标签名称添加到线标签？ 剧情：完整代码：

我正在研究可视化，基本上，我已经能够根据需要创建一些东西，但是，我在标记边缘或（线）时遇到了麻烦。 我想要做的是在节点上添加节点名称并在行上添加标签名称。 任何帮助都会非常好，即使花了很长时间搜索，我也找不到解决方案。

   A = list(result["antecedents"])
   B = list(result["consequent"])
   Edges= list(result["edges"])
   
   node_list = list(set(A+B))
   
   G = nx.Graph()
   
   for i in node_list:
        G.add_node(i)
   
   pos = nx.spring_layout(G,k=0.5,iterations=50)
   
   for n,p in pos.items():
       G.nodes[n]['pos'] = p
   
   edge_trace = go.Scatter(
       x=[],y=[],line=dict(width=0.5,color='#888'),hoverinfo='none',mode='lines')
   
   for edge in G.edges():
       x0,y0 = G.nodes[edge[0]]['pos']
       x1,y1 = G.nodes[edge[1]]['pos']
       edge_trace['x'] += tuple([x0,x1,None])
       edge_trace['y'] += tuple([y0,y1,None])
   
   
   node_trace = go.Scatter(
       x=[],text=[],mode='markers',hoverinfo='text',marker=dict(
           showscale=True,colorscale='RdBu',reversescale=True,color=[],size=15,colorbar=dict(
               thickness=10,title='Node Connections',xanchor='left',titleside='right'
           ),line=dict(width=0)))
   
   for node in G.nodes():
       x,y = G.nodes[node]['pos']
       node_trace['x'] += tuple([x])
       node_trace['y'] += tuple([y])
   
   node_adjacencies = []
   node_text = []
   for node,adjacencies in enumerate(G.adjacency()):
       node_adjacencies.append(len(adjacencies[1]))
       #node_text.append('# of connections: '+str(len(adjacencies[1])))
       node_text.append(adjacencies[0])
   
   node_trace.marker.color = node_adjacencies
   node_trace.text = node_text
   
   for node,adjacencies in enumerate(G.adjacency()):
       node_info = (adjacencies[0],' # of connections: ',str(len(adjacencies[1])))
       node_trace['text']+=tuple([node_info])
   
   fig = go.Figure(data=[edge_trace,node_trace],layout=go.Layout(
                   title='<br>Association Rules connections',titlefont=dict(size=16),showlegend=False,hovermode='closest',margin=dict(b=20,l=5,r=5,t=40),annotations=[ dict(
                       text="",showarrow=True,xref="paper",yref="paper") ],xaxis=dict(showgrid=False,zeroline=False,showticklabels=False),yaxis=dict(showgrid=False,showticklabels=False)))
   
   iplot(fig)```

This is what I currently have:
[enter image description here][1]


But I want to see something like:

[enter image description here][2]


 [1]: https://i.stack.imgur.com/tleyG.png
 [2]: https://i.stack.imgur.com/iKlah.png

Basically,I would like to see node names and and label on lines. this is what I want to visualize:

antecedents          edges consequent
0          ?c         parent         ?a
1          ?c  <isMarriedTo>         ?b
2          ?b         parent         ?a

smth:  ?c ----- parent -----> ?a

Thank you in advance.

解决方法

您还没有提供数据集，您的问题的格式有点令人困惑。尽管如此，fig.add_annotation 应该是去这里的方式。无论您使用什么网络图，您都应该能够通过 fig.data[0].x 和 fig.data[0].x 检索 x 和 y 坐标。然后，您可以为您的节点和/或行构建随附的注释列表，如下所示：

nodeText = ['This','is','what','I','would','like','to','say.']*100

然后使用此注释您想要的任何内容：

# zipped list of x and y coordinates
z = list(zip(fig.data[0].x,fig.data[0].y))

# some labels
nodeText = ['This','say.']*100

# annotate your figure
for i,e in enumerate(z):
    if e[0] is not None:
        fig.add_annotation(x=e[0],y=e[1],text = nodeText[i],showarrow = False,xshift = -25
                           
                          )

剧情：

完整代码：

import plotly.graph_objects as go
import random
import networkx as nx
import numpy as np
random.seed(123)
np.random.seed(123)

G = nx.random_geometric_graph(16,0.125)

edge_x = []
edge_y = []
for edge in G.edges():
    x0,y0 = G.nodes[edge[0]]['pos']
    x1,y1 = G.nodes[edge[1]]['pos']
    edge_x.append(x0)
    edge_x.append(x1)
    edge_x.append(None)
    edge_y.append(y0)
    edge_y.append(y1)
    edge_y.append(None)

edge_trace = go.Scatter(
    x=edge_x,y=edge_y,line=dict(width=0.5,color='#888'),hoverinfo='none',mode='lines')

node_x = []
node_y = []
for node in G.nodes():
    x,y = G.nodes[node]['pos']
    node_x.append(x)
    node_y.append(y)

node_trace = go.Scatter(
    x=node_x,y=node_y,mode='markers',hoverinfo='text',marker=dict(
        showscale=True,# colorscale options
        #'Greys' | 'YlGnBu' | 'Greens' | 'YlOrRd' | 'Bluered' | 'RdBu' |
        #'Reds' | 'Blues' | 'Picnic' | 'Rainbow' | 'Portland' | 'Jet' |
        #'Hot' | 'Blackbody' | 'Earth' | 'Electric' | 'Viridis' |
        colorscale='YlGnBu',reversescale=True,color=[],size=10,colorbar=dict(
            thickness=15,title='Node Connections',xanchor='left',titleside='right'
        ),line_width=2))

node_adjacencies = []
node_text = []
for node,adjacencies in enumerate(G.adjacency()):
    node_adjacencies.append(len(adjacencies[1]))
    node_text.append('# of connections: '+str(len(adjacencies[1])))

node_trace.marker.color = node_adjacencies
node_trace.text = node_text

fig = go.Figure(data=[edge_trace,node_trace],layout=go.Layout(
                title='<br>Network graph made with Python',titlefont_size=16,showlegend=False,hovermode='closest',margin=dict(b=20,l=5,r=5,t=40),annotations=[ dict(
                    text="Python code: <a href='https://plotly.com/ipython-notebooks/network-graphs/'> https://plotly.com/ipython-notebooks/network-graphs/</a>",showarrow=False,xref="paper",yref="paper",x=0.005,y=-0.002 ) ],xaxis=dict(showgrid=False,zeroline=False,showticklabels=False),yaxis=dict(showgrid=False,showticklabels=False))
                )

# zipped list of x and y coordinates
z = list(zip(fig.data[0].x,xshift = -25
                           
                          )
fig.show()