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):
An improved version of bretlance's. Hope it will be helpful. It will show animations but not picture after picture.
Still don't know how the owner of the question Animate drawing networkx edges made use of matplotlib's animation
#!/usr/bin/env python
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()))
nx.draw(graph, pos=nx.get_node_attributes(graph,'Position'))
num_plots = 50;
pylab.show()
for i in range(num_plots):
get_fig()
pylab.draw()
pause(2)