Circular network visualisation with brain pictures at the nodes about scona HOT 6 OPEN

You may be able to just get rid of this section?

    # Put the measures you care about together
    # in a data frame
    df = pd.DataFrame({ 'degree' : measure_dict['Degree_CT_covar_ones_all_COST_10'] ,
                        'module' : measure_dict['Module_CT_covar_ones_all_COST_10'],
                        'renum_module' : measure_dict['Renumbered_Module_CT_covar_ones_all_COST_10'],
                        'von_economo' : measure_dict['von_economo'],
                        'lobes' : measure_dict['lobes'],
                        'x' : measure_dict['centroids'][:,0],
                        'y' : measure_dict['centroids'][:,1],
                        'z' : measure_dict['centroids'][:,2]})
    df['node'] = range(len(df['degree']))

from scona.

• Want to choose the n most-weighted nodes (note: make absolute-weighting an option), and put those in the circular graph
• Want to have a relevant image for each node, at the same angle from the centre, but further out, also the number of the region
• see circos.ca

from scona.

Happy to use a different tool if it exists. I’ve never used circos.ca but those images look beautiful. The challenge is whether it’s easy to use? Easy to add the brain pics??

from scona.

It's very lovely, but a three-weeker to install according to jessie

from scona.

d3.js is a javascript library for creating figures. it can do quite alot, for example very nice circular layouts so it might be a good idea to make bnip interoperable with this

from scona.

It does look nice! 😃 but I've never coded in java before, not sure how easy it is to pick up. It took me quite a long time picking up circos 😢 but we could certainly try :) thank you Isla!

from scona.