Python 如何为存储的帧制作networkx动画？_Python_Animation_Matplotlib_Networkx

Python 如何为存储的帧制作networkx动画？

python animation matplotlib

Python 如何为存储的帧制作networkx动画？,python,animation,matplotlib,networkx,Python,Animation,Matplotlib,Networkx,我想根据我已经生成并存储的度量为图表上色。这些将是matplotlib动画的“我的帧”[每帧长度=图形的节点数]，该动画应传递给图形的“节点颜色”属性。如何将其转化为动画？下面是一个小型图形的最小非工作示例： # number of nodes size = 10. # generate graph G=nx.complete_graph(size) # generating input frames here, since my data is too big # its importan

我想根据我已经生成并存储的度量为图表上色。这些将是matplotlib动画的“我的帧”[每帧长度=图形的节点数]，该动画应传递给图形的“节点颜色”属性。如何将其转化为动画？下面是一个小型图形的最小非工作示例：

# number of nodes
size = 10.

# generate graph
G=nx.complete_graph(size)

# generating input frames here, since my data is too big
# its important that the frames go as input and is not generated 
# on the fly
frame = np.random.random_integers(0, 5, (size, size)) # random ndarray between 0 and 5, length and number of frames = number of nodes in the graph

# draw the topology of the graph, what changes during animation
# is just the color
pos = nx.spring_layout(G)
nodes = nx.draw_networkx_nodes(G,pos)
edges = nx.draw_networkx_edges(G,pos)
plt.axis('off')

# pass frames to funcanimation via update function
# this is where I get stuck, since I cannot break
# out of the loop, neither can I read every array of
# the ndarray without looping over it explicitly
def update(i):
    for i in range(len(frame)):
        # instead of giving frame as input, if I randomly generate it, then it works
        nc =   frame[i] # np.random.randint(2, size=200)
        nodes.set_array(nc)
    return nodes,

# output animation; its important I save it 
ani = FuncAnimation(fig8, update, interval=50,  blit=True)
ani.save('crap.gif', writer='imagemagick',  savefig_kwargs={'facecolor':'white'}, fps=1)

由于上述问题，动画最终只显示最后一帧或第一帧

请注意，如果在update函数中使用nx.draw（），则会出现以下错误：RuntimeError：动画函数必须返回艺术家对象序列

我有一种强烈的感觉，我错过了一些显而易见的简单方法，这个问题是微不足道的。但是因为我不经常使用动画功能，所以我不能完全理解它。

您就快到了：

update

只需要时间t的状态。如果我正确地阅读了您的代码，那么您正在对

update

中的所有

进行循环。因此，只需摆脱该循环，并将

frames

参数添加到

FuncAnimation

中，以便它知道要检查的时间

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

# number of nodes
size = 10

# generate graph
G=nx.complete_graph(size)

# generating input frames here, since my data is too big
# its important that the frames go as input and is not generated
# on the fly
frame = np.random.random_integers(0, 5, (size, size)) # random ndarray between 0 and 5, length and number of frames = number of nodes in the graph

# draw the topology of the graph, what changes during animation
# is just the color
pos = nx.spring_layout(G)
nodes = nx.draw_networkx_nodes(G,pos)
edges = nx.draw_networkx_edges(G,pos)
plt.axis('off')

# pass frames to funcanimation via update function
# this is where I get stuck, since I cannot break
# out of the loop, neither can I read every array of
# the ndarray without looping over it explicitly
def update(i):
    # for i in range(len(frame)):
    # instead of giving frame as input, if I randomly generate it, then it works
    nc = frame[i] # np.random.randint(2, size=200)
    nodes.set_array(nc)
    return nodes,

# output animation; its important I save it
fig = plt.gcf()
ani = FuncAnimation(fig, update, interval=50, frames=range(size), blit=True)
ani.save('crap.gif', writer='imagemagick',  savefig_kwargs={'facecolor':'white'}, fps=1)