iGraph + Plotly创建随机连接

import igraph as ig
import plotly.graph_objects as go

graph = ig.Graph()

num_nodes = 10  # 设置节点数量
graph.add_vertices(num_nodes)

num_edges = 20  # 设置边的数量
for _ in range(num_edges):
    source = random.randint(0, num_nodes-1)
    target = random.randint(0, num_nodes-1)
    graph.add_edge(source, target)

layout = graph.layout("fr")  # 使用Fruchterman-Reingold算法布局节点
x, y = zip(*layout.coords)
edge_trace = go.Scatter(
    x=[],
    y=[],
    line=dict(width=0.5, color='#888'),
    hoverinfo='none',
    mode='lines'
)

for edge in graph.get_edgelist():
    x0, y0 = layout.coords[edge[0]]
    x1, y1 = layout.coords[edge[1]]
    edge_trace['x'] += tuple([x0, x1, None])
    edge_trace['y'] += tuple([y0, y1, None])

node_trace = go.Scatter(
    x=x,
    y=y,
    mode='markers',
    hoverinfo='text',
    marker=dict(
        showscale=False,
        colorscale='YlGnBu',
        reversescale=True,
        color=[],
        size=10,
        colorbar=dict(
            thickness=15,
            title='Node Connections',
            xanchor='left',
            titleside='right'
        ),
        line_width=2
    )
)

fig = go.Figure(data=[edge_trace, node_trace],
               layout=go.Layout(
                   title='Randomly Connected Network',
                   titlefont_size=16,
                   showlegend=False,
                   hovermode='closest',
                   margin=dict(b=20, l=5, r=5, t=40),
                   annotations=[dict(
                       text="",
                       showarrow=False,
                       xref="paper", yref="paper",
                       x=0.005, y=-0.002)],
                   xaxis=dict(showgrid=False, zeroline=False,
                              showticklabels=False),
                   yaxis=dict(showgrid=False, zeroline=False,
                              showticklabels=False))
               )

fig.show()