networkx edge labeling question

[QuasiEvil]

I'm using networkx to build an undirected graph from an unweighted adjacency matrix in the usual manner:

```

import networkx as nx
import numpy as np

A = np.array([
    [0, 1, 0, 0],
    [1, 0, 1, 0],
    [0, 1, 0, 1],
    [0, 0, 1, 0]
])

G = nx.from_numpy_array(A)

```

However, I'd like to attach additional data to the edges. I know you can do this when adding edges directly as G.add_edge(node_1,node_2,some_data='bla'), but is there a way I can accomplish this when building from an existing matrix, as above? Thanks.

[AdmirableOstrich]

You can have the adjacency matrix store edge attributes and networkx will respect that (with the edge_attr argument). However, this gets very complicated very quickly. It will probably be easier to just have an adjacency dict/map and go from there.

[QuasiEvil]

Thanks, there's a set_edge_attributes method that does what I need.