netgraph | Publication-quality network visualisations in python | Data Visualization library

I have an application with PyQt and I would like to add the Netgraph graphs interactiviness to my application.

However, I am not being able to click the vertex and edges of the graph.

Here is a minimal example:

I would like to set different edge width in a network visualization with netgraph based on a networkx network. How to do this? I am using netgraph as, to my knowledge, this is the only graph package to show two separate arrows in between two nodes. My code so far (pools and processes_weight are both dict):

I am working on a visualization of a network that includes moveable nodes with edge labels that are updated by streaming data. Currently I am using randint to update a pandas dataframe while I work on the plotting.

The current code can generate the nodes and allows them to move and also updates the edge labels, but it feels "clunky" and every once in a while the plot flashes the axes (which I do not want to see). Is I can't seem to find a good hook in netgraph to simply refresh graph without doing a clear and redraw which will inevitably get worse as the network grows. Anyone know how I can make this smoother?

Here is the current code:

I am trying to create an interactive plot using netgraph and networkx.

I would like the plot to allow movement of the nodes and as the nodes move, the edges and edge_labels will also dynamically update.

Moving the nodes was addressed by the author of netgraph here . Now when I make a simpler plot and try to label an edge, the label stays static, and is sometimes not even on an edge.

It seems like handling edge_positions similar to node_positions on the last two lines should at least address the label not moving. Why the label isn't anchored to a particular edge is still puzzling. Does anyone know if the desired effect is achievable?

Here is a snip before moving anything:

Here is a snip after moving the bottom-right node to the top left:

Here is my current code: