stock-correlations-visualise_network.py

fig, ax = plt.subplots(nrows=2, ncols=2,figsize=(20,20))

nx.draw(G0, with_labels=True, node_size=700, node_color="#e1575c",
        edge_color='#363847',  pos=nx.circular_layout(G0),ax=ax[0,0])
ax[0,0].set_title("Circular layout")

nx.draw(G0, with_labels=True, node_size=700, node_color="#e1575c",
        edge_color='#363847',  pos=nx.random_layout(G0),ax=ax[0,1])
ax[0,1].set_title("Random layout")

nx.draw(G0, with_labels=True, node_size=700, node_color="#e1575c",
        edge_color='#363847',  pos=nx.spring_layout(G0),ax=ax[1,0])
ax[1,0].set_title("Spring layout")

nx.draw(G0, with_labels=True, node_size=700, node_color="#e1575c",
        edge_color='#363847',  pos=nx.spectral_layout(G0),ax=ax[1,1])
ax[1,1].set_title("Spectral layout")

plt.show()