Animating Network Growth with NetworkX and Matplotlib

Question

I would like to animate a graph that grows over time. This is what I have so far: ``` 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() ``` 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_…

Accepted Answer

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:

- This code is based on using `pylab.ion()` (see here for more info).

- Your code tries to use one figure and change the image within it. This code creates a new figure for each frame.

- 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.

- Note that this code uses `matplotlib.pyplot.pause()` instead of `time.sleep()`. The figures won't render if you use `time.sleep()`.

Good luck!

```
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)
```

Animating Network Growth with NetworkX and Matplotlib

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