根据pandas数据帧中连接的数量，自动向networkx中的边添加权重

import pandas as pd
import networkx as nx

df = pd.read_csv('your_data_frame.csv')  # 替换为你的数据帧文件路径
G = nx.Graph()

for index, row in df.iterrows():
    source = row['source']  # 替换为数据帧中表示源节点的列名
    target = row['target']  # 替换为数据帧中表示目标节点的列名
    weight = row['weight']  # 替换为数据帧中表示权重的列名

    if G.has_edge(source, target):
        G[source][target]['weight'] += weight
    else:
        G.add_edge(source, target, weight=weight)

import pandas as pd
import networkx as nx

df = pd.read_csv('your_data_frame.csv')  # 替换为你的数据帧文件路径
G = nx.Graph()

for index, row in df.iterrows():
    source = row['source']  # 替换为数据帧中表示源节点的列名
    target = row['target']  # 替换为数据帧中表示目标节点的列名
    weight = row['weight']  # 替换为数据帧中表示权重的列名
    
    if G.has_edge(source, target):
        G[source][target]['weight'] += weight
    else:
        G.add_edge(source, target, weight=weight)