An interface between networkx and manim to make animating graphs easier. This package is in development and I welcome new feature requests and ideas.
An example animation which transforms between two random graphs:
Install using this command:
pip install manimnx
Requires manimlib and networkx.
To generate the example shown above, run this command after cloning this repo:
manim example.py RandomGraphs -mi
The -m flag is for medium quality, and -i is to generate a gif instead of an mp4.
Here is the code to generate the example gif. You can find it in example.py.
from manimlib.imports import *
import networkx as nx
import manimnx.manimnx as mnx
import numpy as np
import random
class RandomGraphs(Scene):
def construct(self):
import time
# list of colors to choose from
COLORS = [RED, BLUE, GREEN, ORANGE, YELLOW]
np.random.seed(int(time.time()))
# make a random graph
G1 = nx.erdos_renyi_graph(10, 0.5)
# choose random colors for the nodes
for node in G1.nodes.values():
node['color'] = random.choice(COLORS)
# make the manim graph
mng = mnx.ManimGraph(G1)
self.play(*[ShowCreation(m) for m in mng]) # create G1
self.wait(1)
# lets get a new graph
G2 = G1.copy()
mnx.assign_positions(G2) # assign new node positions
# add and remove random edges
new_G = nx.erdos_renyi_graph(10, 0.5)
G2.add_edges_from(new_G.edges)
for edge in G1.edges:
if edge not in new_G.edges:
G2.remove_edge(*edge)
# recolor nodes randomly
for node in G2.nodes.values():
node['color'] = random.choice(COLORS)
# the transform_graph function neatly moves nodes to their new
# positions along with edges that remain. New edges are faded in and
# removed ones are faded out. Try to replace this with a vanilla
# Transform and notice the difference.
self.play(*mnx.transform_graph(mng, G2)) # transform G1 to G2
# vanilla transform mixes up all mobjects, and doesn't look as good
# self.play(Transform(mng, mnx.ManimGraph(G2)))
self.wait(1)