三维旋转和随机游走的动画

在三维谱布局中图的三维绘图动画示例。 参考 https://sphinx-gallery.github.io/stable/auto_examples/plot_8_animations.html 使用初始图的帧旋转动画，如 https://matplotlib.org/stable/api/animation_api.html 或完全帧重绘以在图上绘制随机游走。

在本地运行时，两个示例中都需要取消注释带有’plt.show()’的行。

import numpy as np
import networkx as nx
import random
import matplotlib.pyplot as plt
from matplotlib import animation

Define a graph to plot.

Pick up a graph to look good in 3D.

G = nx.dodecahedral_graph()
pos = nx.spectral_layout(G, dim=3)
nodes = np.array([pos[v] for v in G])
edges = np.array([(pos[u], pos[v]) for u, v in G.edges()])

Rotating 3D graph animation.

In this example, a frame update is only a rotation of a given 3D graph.

def init():
    ax.scatter(*nodes.T, alpha=0.2, s=100, color="blue")
    for vizedge in edges:
        ax.plot(*vizedge.T, color="gray")
    ax.grid(False)
    ax.set_axis_off()
    plt.tight_layout()
    return


def _frame_update(index):
    ax.view_init(index * 0.2, index * 0.5)
    return


fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")

ani = animation.FuncAnimation(
    fig,
    _frame_update,
    init_func=init,
    interval=50,
    cache_frame_data=False,
    frames=100,
)
# plt.show()

Once Loop Reflect

Random walk on rotating 3D graph animation.

The frame update can also draw a new plot in every frame giving the ultimate flexibility at the cost of performance loss.

def _frame_update(index):
    ax.clear()
    ax.scatter(*nodes.T, alpha=0.2, s=100, color="blue")
    for vizedge in edges:
        ax.plot(*vizedge.T, color="gray")
    neighbors = list(G.neighbors(node[0]))
    if index % 5 == 0:
        node[0] = random.choice(neighbors)
    node0 = nodes[node[0]]
    ax.scatter(*node0, alpha=1, marker="s", color="red", s=100)
    ax.view_init(index * 0.2, index * 0.5)
    ax.grid(False)
    ax.set_axis_off()
    plt.tight_layout()
    return


fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
ax.grid(False)
ax.set_axis_off()
plt.tight_layout()
node = [0]
ani = animation.FuncAnimation(
    fig,
    _frame_update,
    interval=50,
    cache_frame_data=False,
    frames=100,
)
# plt.show()

Once Loop Reflect