网络动画生长的NetworkX和Matplotlib [英] Animating Network Growth with NetworkX and Matplotlib

问题描述

我想那个动画随时间增长曲线。

I would like to animate a graph that grows over time.

这是我迄今为止：

fig = plt.figure()
ims = []
graph = nx.Graph()
for i in range(50):
    // Code to modify Graph
    nx.draw(graph, pos=nx.get_node_attributes(graph,'Position'))
    im = plt.draw()
    self.ims.append([im])
ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,repeat_delay=1000)
ani.save('dynamic_images.mp4')
plt.show()

不过，我得到了以下错误消息：

However, I get the following error message:

 File "main.py", line 204, in <module>
    repeat_delay=1000)
  File "/usr/lib/pymodules/python2.7/matplotlib/animation.py", line 356, in __init__
    TimedAnimation.__init__(self, fig, *args, **kwargs)
  File "/usr/lib/pymodules/python2.7/matplotlib/animation.py", line 304, in __init__
    Animation.__init__(self, fig, event_source=event_source, *args, **kwargs)
  File "/usr/lib/pymodules/python2.7/matplotlib/animation.py", line 53, in __init__
    self._init_draw()
  File "/usr/lib/pymodules/python2.7/matplotlib/animation.py", line 363, in _init_draw
    artist.set_visible(False)
AttributeError: 'NoneType' object has no attribute 'set_visible'
nicomoto@nicomoto-VirtualBox:~/Desktop/CS8903-SpecialProblem/Code/

我要的是一个动画，在这里你可以看到图表增长。我可以在每个阶段保存图形，并且可能能够创造外matplotlib动画，但有得到它像这样的工作的方法吗？

What I want is an animation, where you can see the graph growing. I can save the graph at each stage, and might be able to create an animation outside matplotlib, but is there any way of getting it work like this?

推荐答案

经审查，即code是几乎没有为我还以为这个问题是相关的。不过，我可以使用<一个href=\"http://stackoverflow.com/questions/6686550/how-to-animate-a-time-ordered-sequence-of-matplotlib-plots\">this SO回答和<一个href=\"http://stackoverflow.com/questions/12822762/pylab-ion-in-python-2-matplotlib-1-1-1-and-updating-of-the-plot-while-the-pro\">this SO回答凑齐一个答案给你。这里code，将创建的曲线图中，加50随机节点和50个随机边缘到它，和每一个节点之后显示图形的图像，并添加边缘。几个从code中的重要变化：

Upon review, that code wasn't nearly as relevant to this problem as I'd thought. However, I was able to use this SO answer and this SO answer to cobble together an answer for you. Here's code that will create a graph, add 50 random nodes and 50 random edges to it, and display an image of the graph after every node and edge is added. A few of the key changes from your code:

1. 这code是基于使用 pylab.ion（）（见的这里获取更多信息）。


2. 您$​​ C $ C尝试使用一个数字，并在其内更改图像。这code会为每一帧新的人物。


3. 这code没有写出来.MP4。如果你真的需要做到这一点，我建议写数据到.png文件，同时使它们，并在以后转换为MP4。


4. 请注意，这code使用 matplotlib.pyplot.pause（）而不是 time.sleep（）。如果你使用 time.sleep的数字将不会呈现（）。

1. This code is based on using pylab.ion() (see here for more info).
2. Your code tries to use one figure and change the image within it. This code creates a new figure for each frame.
3. This code doesn't write out to .mp4. If you really need to do that, I would suggest writing the figures out to .png file while rendering them, and converting to mp4 after the fact.
4. Note that this code uses matplotlib.pyplot.pause() instead of time.sleep(). The figures won't render if you use time.sleep().

祝你好运！

import random
import pylab
from matplotlib.pyplot import pause
import networkx as nx
pylab.ion()

graph = nx.Graph()
node_number = 0
graph.add_node(node_number, Position=(random.randrange(0, 100), random.randrange(0, 100)))

def get_fig():
    global node_number
    node_number += 1
    graph.add_node(node_number, Position=(random.randrange(0, 100), random.randrange(0, 100)))
    graph.add_edge(node_number, random.choice(graph.nodes()))
    fig = pylab.figure()
    nx.draw(graph, pos=nx.get_node_attributes(graph,'Position'))
    return fig

num_plots = 50;
pylab.show()

for i in range(num_plots):

    fig = get_fig()
    fig.canvas.draw()
    pylab.draw()
    pause(2)
    pylab.close(fig)

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