when I pass multigraph numpy adjacency matrix to networkx (using from_numpy_matrix function) and then try to draw the graph using matplotlib, it ignores the multiple edges.<
You can use pyvis package.
I just copy-paste this code from my actual project in Jupyter notebook.
from pyvis import network as pvnet
def plot_g_pyviz(G, name='out.html', height='300px', width='500px'):
g = G.copy() # some attributes added to nodes
net = pvnet.Network(notebook=True, directed=True, height=height, width=width)
opts = '''
var options = {
"physics": {
"forceAtlas2Based": {
"gravitationalConstant": -100,
"centralGravity": 0.11,
"springLength": 100,
"springConstant": 0.09,
"avoidOverlap": 1
},
"minVelocity": 0.75,
"solver": "forceAtlas2Based",
"timestep": 0.22
}
}
'''
net.set_options(opts)
# uncomment this to play with layout
# net.show_buttons(filter_=['physics'])
net.from_nx(g)
return net.show(name)
G = nx.MultiDiGraph()
[G.add_node(n) for n in range(5)]
G.add_edge(0, 1, label=1)
G.add_edge(0, 1, label=11)
G.add_edge(0, 2, label=2)
G.add_edge(0, 3, label=3)
G.add_edge(3, 4, label=34)
plot_g_pyviz(G)
result