高级python数据可视化关系图代码
时间: 2023-10-12 17:11:48 浏览: 45
以下是使用 Plotly 绘制高级关系图的 Python 代码示例:
```python
import plotly.graph_objs as go
import networkx as nx
# 创建一个复杂的关系图
G = nx.random_geometric_graph(200, 0.125)
pos = nx.get_node_attributes(G, 'pos')
# 设置节点和边的样式
edge_trace = go.Scatter(
x=[],
y=[],
line=dict(width=0.5, color='#888'),
hoverinfo='none',
mode='lines')
for edge in G.edges():
x0, y0 = pos[edge[0]]
x1, y1 = pos[edge[1]]
edge_trace['x'] += [x0, x1, None]
edge_trace['y'] += [y0, y1, None]
node_trace = go.Scatter(
x=[],
y=[],
text=[],
mode='markers',
hoverinfo='text',
marker=dict(
showscale=True,
colorscale='YlGnBu',
reversescale=True,
color=[],
size=10,
colorbar=dict(
thickness=15,
title='Node Connections',
xanchor='left',
titleside='right'),
line=dict(width=2)))
for node in G.nodes():
x, y = pos[node]
node_trace['x'].append(x)
node_trace['y'].append(y)
# 设置节点的颜色和大小
for node, adjacencies in enumerate(G.adjacency()):
node_trace['marker']['color'].append(len(adjacencies[1]))
node_info = '# of connections: ' + str(len(adjacencies[1]))
node_trace['text'].append(node_info)
# 绘制关系图
fig = go.Figure(data=[edge_trace, node_trace],
layout=go.Layout(
title='<br>Network graph made with Python',
titlefont=dict(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/python/'>plotly.com/python</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, zeroline=False, showticklabels=False)))
# 显示关系图
fig.show()
```
这段代码会绘制一个包含 200 个节点和较多条边的复杂关系图,并设置节点和边的样式,最后显示关系图。你可以根据自己的需求修改节点和边的样式,或者使用其他库进行绘制。