Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.
In this example we show how to visualize a network graph created using networkx .
Install the Python library networkx with pip install networkx .
import plotly.graph_objects as go import networkx as nx G = nx.random_geometric_graph(200, 0.125)
Add edges as disconnected lines in a single trace and nodes as a scatter trace
edge_x = [] edge_y = [] for edge in G.edges(): x0, y0 = G.nodes[edge[0]]['pos'] x1, y1 = G.nodes[edge[1]]['pos'] edge_x.append(x0) edge_x.append(x1) edge_x.append(None) edge_y.append(y0) edge_y.append(y1) edge_y.append(None) edge_trace = go.Scatter( x=edge_x, y=edge_y, line=dict(width=0.5, color='#888'), hoverinfo='none', mode='lines') node_x = [] node_y = [] for node in G.nodes(): x, y = G.nodes[node]['pos'] node_x.append(x) node_y.append(y) node_trace = go.Scatter( x=node_x, y=node_y, mode='markers', hoverinfo='text', marker=dict( showscale=True, # colorscale options #'Greys' | 'YlGnBu' | 'Greens' | 'YlOrRd' | 'Bluered' | 'RdBu' | #'Reds' | 'Blues' | 'Picnic' | 'Rainbow' | 'Portland' | 'Jet' | #'Hot' | 'Blackbody' | 'Earth' | 'Electric' | 'Viridis' | colorscale='YlGnBu', reversescale=True, color=[], size=10, colorbar=dict( thickness=15, title='Node Connections', xanchor='left', titleside='right' ), line_width=2))
Color node points by the number of connections.
Another option would be to size points by the number of connections i.e. node_trace.marker.size = node_adjacencies
node_adjacencies = [] node_text = [] for node, adjacencies in enumerate(G.adjacency()): node_adjacencies.append(len(adjacencies[1])) node_text.append('# of connections: '+str(len(adjacencies[1]))) node_trace.marker.color = node_adjacencies node_trace.text = node_text