使用Python进行网络数据可视化的多种方法与技巧

import matplotlib.pyplot as plt
import networkx as nx

# 创建一个空的无向图
G = nx.Graph()

# 添加节点
G.add_node(1)
G.add_node(2)
G.add_node(3)

# 添加边
G.add_edge(1, 2)
G.add_edge(2, 3)
G.add_edge(3, 1)

# 绘制网络图
nx.draw(G, with_labels=True, node_color='skyblue', node_size=1000, edge_color='gray', linewidths=2, font_size=12)

# 显示图形
plt.show()

import seaborn as sns
import matplotlib.pyplot as plt
import networkx as nx

# 创建一个空的无向图
G = nx.Graph()

# 添加节点
G.add_node(1)
G.add_node(2)
G.add_node(3)

# 添加边
G.add_edge(1, 2)
G.add_edge(2, 3)
G.add_edge(3, 1)

# 绘制网络图
nx.draw(G, with_labels=True, node_color='skyblue', node_size=1000, edge_color='gray', linewidths=2, font_size=12)

# 使用seaborn样式
sns.set()

# 显示图形
plt.show()

import plotly.graph_objects as go

# 创建节点列表和边列表
nodes = [1, 2, 3]
edges = [(1, 2), (2, 3), (3, 1)]

# 创建图形对象
fig = go.Figure()

# 添加节点
for node in nodes:
    fig.add_trace(go.Scatter(x=[0], y=[0], mode='markers+text', marker=dict(size=20), text=str(node)))

# 添加边
for edge in edges:
    fig.add_trace(go.Scatter(x=[0, 0], y=[0, 0], mode='lines', line=dict(width=1), 
                             hoverinfo='none', showlegend=False, 
                             x=[nodes[edge[0]-1], nodes[edge[1]-1]], 
                             y=[nodes[edge[0]-1], nodes[edge[1]-1]]))

# 设置图形布局
fig.update_layout(title_text="Interactive Network Visualization", title_x=0.5, showlegend=False)

# 显示图形
fig.show()

import networkx as nx
import matplotlib.pyplot as plt

# 创建一个空的无向图
G = nx.Graph()

# 添加节点
G.add_nodes_from([1, 2, 3, 4, 5])

# 添加边
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5), (3, 5)])

# 计算网络中的中心性指标
centrality = nx.degree_centrality(G)

# 绘制节点和边
nx.draw(G, pos=nx.spring_layout(G), with_labels=True, node_color='skyblue', node_size=[v * 1000 for v in centrality.values()])

# 显示节点的中心性指标
for node, cent in centrality.items():
    plt.text(*nx.spring_layout(G)[node], s=f"{node}\n{cent:.2f}", fontsize=10, ha='center', va='center')

# 显示图形
plt.show()

from pyvis.network import Network
import networkx as nx

# 创建一个空的无向图
G = nx.Graph()

# 添加节点
G.add_nodes_from([1, 2, 3, 4, 5])

# 添加边
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5), (3, 5)])

# 创建Pyvis网络对象
net = Network()

# 添加节点和边到Pyvis网络对象
for node in G.nodes():
    net.add_node(node)
for edge in G.edges():
    net.add_edge(edge[0], edge[1])

# 可视化网络图
net.show('interactive_network.html')

from graph_tool.all import *

# 创建图对象
g = Graph()

# 添加节点
v1 = g.add_vertex()
v2 = g.add_vertex()
v3 = g.add_vertex()

# 添加边
e1 = g.add_edge(v1, v2)
e2 = g.add_edge(v2, v3)
e3 = g.add_edge(v3, v1)

# 设置节点属性
g.vp.label = g.new_vertex_property("string")
g.vp.label[v1] = "Node 1"
g.vp.label[v2] = "Node 2"
g.vp.label[v3] = "Node 3"

# 设置边属性
g.ep.weight = g.new_edge_property("double")
g.ep.weight[e1] = 1.0
g.ep.weight[e2] = 2.0
g.ep.weight[e3] = 3.0

# 可视化网络图
graph_draw(g, vertex_text=g.vp.label, edge_pen_width=g.ep.weight)