如何使用点列表的(x，y)坐标绘制networkx图? [英] how to plot a networkx graph using the (x,y) coordinates of the points list?

问题描述

我的点为x，y，我想使用点列表的(x，y)坐标绘制图形，以便可以看到轴.这是我的代码和图表的照片

 将networkx导入为nx导入matplotlib.pyplot作为pltdef add_edge_to_graph(G，e1，e2，w):G.add_edge(e1，e2，weight = w)G = nx.Graph()points = [(1，10)，(8，10)，(10，8)，(7，4)，(3，1)]#(x，y)点edges = [(0，1，10)，(1,2,5)，(2，3，25)，(0，3，3)，(3，4，8)]#(v1，v2，权重)对于范围内的我(len(edges)):add_edge_to_graph(G，points [edges [i] [0]]，points [edges [i] [1]]，edges [i] [2])pos = nx.spring_layout(G)nx.draw(G，pos = pos，node_color ='k')nx.draw(G，pos = pos，node_size = 1500)#绘制节点和边nx.draw_networkx_labels(G，pos = pos)#绘制节点标签/名称#绘制边缘权重标签= nx.get_edge_attributes(G，'重量')nx.draw_networkx_edge_labels(G，pos，edge_labels = labels)plt.axis()plt.show() 

背景

对于轴，我使用了上面已经建议的 plt.axis("on")以及https://i.imgur.com/LbAGBIh.png

解决方案

This should solve your problem:

import networkx as nx
import matplotlib.pyplot as plt


def add_edge_to_graph(G, e1, e2, w):
    G.add_edge(e1, e2, weight=w)


G = nx.Graph()
points = [(1, 10), (8, 10), (10, 8), (7, 4), (3, 1)]  # (x,y) points
edges = [(0, 1, 10), (1, 2, 5), (2, 3, 25), (0, 3, 3), (3, 4, 8)]  # (v1,v2, weight)

for i in range(len(edges)):
    add_edge_to_graph(G, points[edges[i][0]], points[edges[i][1]], edges[i][2])

# you want your own layout
# pos = nx.spring_layout(G)
pos = {point: point for point in points}

# add axis
fig, ax = plt.subplots()
nx.draw(G, pos=pos, node_color='k', ax=ax)
nx.draw(G, pos=pos, node_size=1500, ax=ax)  # draw nodes and edges
nx.draw_networkx_labels(G, pos=pos)  # draw node labels/names
# draw edge weights
labels = nx.get_edge_attributes(G, 'weight')
nx.draw_networkx_edge_labels(G, pos, edge_labels=labels, ax=ax)
plt.axis("on")
ax.set_xlim(0, 11)
ax.set_ylim(0,11)
ax.tick_params(left=True, bottom=True, labelleft=True, labelbottom=True)
plt.show()

Result

Backround

For the axis, I used plt.axis("on") as already suggested above together with How to make x and y axes appear when using networkx and matplotlib?

Additionaly, I replaced the spring_layout with the positions in your points list.

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