creating dynamic graph python NetworkX

Question

I am attempting to build a dynamic graph in python using networkX. I've got some code to build a static graph. I'm looking for some advice as to how to alter it for dynamic graphing to improve the visualization, maybe using networkx d3 or plotly. The context is to graph a conversation.

nx.draw_networkx(speech, pos=nx.spring_layout(speech))
plt.draw()
static_images_dir = "./static/images"
if not os.path.exists(static_images_dir):
    os.makedirs(static_images_dir)
plt.savefig(os.path.join(static_images_dir, "speech.png"))
#plt.show()
plt.close()
return speech

Did you try the code here? plot.ly/python/network-graphs

Maximilian Peters
– Maximilian Peters

2017-11-19 18:21:48 +00:00
Commented Nov 19, 2017 at 18:21 — Maximilian Peters
– Maximilian Peters, Commented Nov 19, 2017 at 18:21
stackoverflow.com/questions/43646550/…

Esther
– Esther

2017-12-30 14:15:08 +00:00
Commented Dec 30, 2017 at 14:15 — Esther
– Esther, Commented Dec 30, 2017 at 14:15

Kim Tang · Accepted Answer · 2019-09-25 12:43:45Z

2

I am not sure if that's what you mean by dynamic, but maybe something like this?

import networkx as nx
import numpy as np
import matplotlib.pylab as plt
import hvplot.networkx as hvnx
import holoviews as hv
from bokeh.models import HoverTool
hv.extension('bokeh')

A = np.matrix([[0,1,1,0,0],[1,0,1,0,0],[1,1,0,1,1],[0,0,1,0,1],[0,0,1,1,0]])
G = nx.from_numpy_matrix(A)
pos = nx.spring_layout(G)

nx.draw_networkx(G, pos, node_color='lightgray')
plt.show()

hvnx.draw(G, pos, node_color='lightgray').opts(tools=[HoverTool(tooltips=[('index', '@index_hover')])])

Which produces the output:

Normal static graph

Dynamic graph you can interact with

answered Sep 25, 2019 at 12:43

Kim Tang

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