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"""
================
Basic matplotlib
================
A basic example of 3D Graph visualization using `mpl_toolkits.mplot_3d`.
"""
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# The graph to visualize
G = nx.cycle_graph(20)
# 3d spring layout
pos = nx.spring_layout(G, dim=3, seed=779)
# Extract node and edge positions from the layout
node_xyz = np.array([pos[v] for v in sorted(G)])
edge_xyz = np.array([(pos[u], pos[v]) for u, v in G.edges()])
# Create the 3D figure
fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
# Plot the nodes - alpha is scaled by "depth" automatically
ax.scatter(*node_xyz.T, s=100, ec="w")
# Plot the edges
for vizedge in edge_xyz:
ax.plot(*vizedge.T, color="tab:gray")
def _format_axes(ax):
"""Visualization options for the 3D axes."""
# Turn gridlines off
ax.grid(False)
# Suppress tick labels
for dim in (ax.xaxis, ax.yaxis, ax.zaxis):
dim.set_ticks([])
# Set axes labels
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")
_format_axes(ax)
fig.tight_layout()
plt.show()
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