brainconn.utils.visualization.adjacency_plot_und

adjacency_plot_und(A, coor, tube=False)

This function in matlab is a visualization helper which translates an adjacency matrix and an Nx3 matrix of spatial coordinates, and plots a 3D isometric network connecting the undirected unweighted nodes using a specific plotting format. Including the formatted output is not useful at all for bctpy since matplotlib will not be able to plot it in quite the same way.

Instead of doing this, I have included code that will plot the adjacency matrix onto nodes at the given spatial coordinates in mayavi

This routine is basically a less featureful version of the 3D brain in cvu, the connectome visualization utility which I also maintain. cvu uses freesurfer surfaces and annotations to get the node coordinates (rather than leaving them up to the user) and has many other interactive visualization features not included here for the sake of brevity.

There are other similar visualizations in the ConnectomeViewer and the UCLA multimodal connectivity database.

Note that unlike other bctpy functions, this function depends on mayavi.