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? Continue reading...
