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我正在使用 PyVis 进行网络可视化，并希望在悬停在节点上时在工具提示功能中添加一些额外的项目。

我基本上直接使用来自 GoT 网络的 PyVis 文档的教程部分的代码： https ://pyvis.readthedocs.io/en/latest/tutorial.html

此功能中的工具提示已设置，以便在将鼠标悬停在节点上时显示相邻邻居的列表。我想显示相同的信息，但也想显示每个邻居的相关边权重。

我知道在我的可视化中考虑了重量，因为边缘宽度会根据重量而变化，但我所做的几次尝试并没有显示工具提示中的任何变化。

除了负责工具提示的代码之外，这是我尝试过的（工具提示部分位于底部，就在 neighbor_map 对象下方）：

HCP_net = Network(height='750px', width='100%', bgcolor='#222222', font_color='white')

HCP_net.barnes_hut()

sources = df2['HCP_Name']
targets = df2['HCPOffset_Name']
weights = df2['PATIENT_ID (DCOUNT)']

edge_data = zip(sources, targets, weights)

for e in edge_data:
    src = e[0]
    dst = e[1]
    w = e[2]
    
    HCP_net.add_node(src, src, title=src)
    HCP_net.add_node(dst, dst, title=dst)
    HCP_net.add_edge(src, dst, value=w)
    
neighbor_map = HCP_net.get_adj_list()
node_weight = HCP_net.get_edges() #my attempt at creating a weight object to call, if I call print(len(node_weight)) I get an integer so I know this is working

for node in HCP_net.nodes:
    node['title'] += ' Neighbors: <br>' + '<br>'.join(neighbor_map[node['id']])
    node['value'] = len(neighbor_map[node['id']])
    node['value'] = len(neighbor_map.keys()) #This called by itself 
 (print(len(neighbor_map.keys())) also displays the same integer as my node_weight object

我想我只是不太了解如何正确调用 node['value'] 以在工具提示中产生新的显示。非常感谢任何帮助！

4

1 回答 1

1

该node['title']变量存储悬停节点时显示的信息。要将权重添加到显示的信息中，您首先需要将它们与相应的邻居相关联，然后更改node['title']变量以使其包含连接的信息邻居和权重。您可以在下面的代码中找到有关如何执行此操作的更多详细信息：

from pyvis.network import Network
import pandas as pd

got_net = Network(height='750px', width='100%', bgcolor='#222222', font_color='white')

# set the physics layout of the network
got_net.barnes_hut()
got_data = pd.read_csv('https://www.macalester.edu/~abeverid/data/stormofswords.csv')

sources = got_data['Source']
targets = got_data['Target']
weights = got_data['Weight']

edge_data = zip(sources, targets, weights)

for e in edge_data:
    src = e[0]
    dst = e[1]
    w = e[2]

    got_net.add_node(src, src, title=src)
    got_net.add_node(dst, dst, title=dst)
    got_net.add_edge(src, dst, value=w)

neighbor_map = got_net.get_adj_list()
edges = got_net.get_edges()
nodes=got_net.get_nodes()

N_nodes=len(nodes)
N_edges=len(edges)


weights=[[] for i in range(N_nodes)]

#Associating weights to neighbors
for i in range(N_nodes): #Loop through nodes
    for neighbor in neighbor_map[nodes[i]]: #and neighbors
        for j in range(N_edges): #associate weights to the edge between node and neighbor
            if (edges[j]['from']==nodes[i] and edges[j]['to']==neighbor) or \
               (edges[j]['from']==neighbor and edges[j]['to']==nodes[i]):
                weights[i].append(edges[j]['value'])
    

for node,i in zip(got_net.nodes,range(N_nodes)):
   
    node['value']=len(neighbor_map[node['id']])
    node['weight']=[str(weights[i][k]) for k in range(len(weights[i]))]
    list_neighbor=list(neighbor_map[node['id']]) 
    #Concatenating neighbors and weights
    hover_str=[list_neighbor[k]+' '+ node['weight'][k] for k in range(node['value'])]
    #Setting up node title for hovering 
    node['title']+=' Neighbors:<br>'+'<br>'.join(hover_str)
    
got_net.show('gameofthrones.html')

输出给出：

在此处输入图像描述

于 2022-01-05T05:18:25.523 回答