Visualize large graph with Networkx

Question

I have a dataset in the form of node1, node2 and want to use networks to build a graph. It is fairly a large dataset which leads to a graph with 500k nodes

import pandas as pd
import numpy as np
import networkx as nx

df = pd.read_csv('large.csv')
G=nx.from_pandas_edgelist(df, 'node1','node2')

This part code runs very quickly which converts datafram into a graph. Then I tried to apply spring layout:

pos = nx.spring_layout(G)

This part of the code takes forever. If I try different layout like circular_layout or shell_layout it would be very quick but the layout is fir with my graph.

Is there a better way to apply spring_layout for such a large graph?

ChrisGS · Accepted Answer · 2025-03-20 01:21:33Z

6

For that large graphs I would not recommend to use networkx for visualisation of such large graphs. Alternatives are graphviz or Gephi. Take a look at the following list of related questions:

edited Mar 20 at 1:21

ChrisGS

3803 silver badges10 bronze badges

answered Jul 17, 2020 at 15:54

Sparky05

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Fareed Khan Over a year ago

some links are not working, can you please update the links of questions, Thankyou!

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