Comments (6)
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']))
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- 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
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Happy to use a different tool if it exists. Iβve never used circos.ca but those images look beautiful. The challenge is whether itβs easy to use? Easy to add the brain pics??
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It's very lovely, but a three-weeker to install according to jessie
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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
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It does look nice! π 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 π’ but we could certainly try :) thank you Isla!
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Related Issues (20)
- Add padding to the colorbar at the bottom HOT 3
- calculate_nodal_measures doesn't work on graph bundles HOT 1
- Pad random graphs with 0s so they are in the right order HOT 4
- Set seed for Erdos Renyi graph in plot degree distribution HOT 4
- Include small world in plot_network_measures HOT 3
- Which version of nilearn do we need? HOT 1
- Cut covars columns from residuals matrix HOT 1
- feature request: tell brainbundle the total number of brains you want
- Catch error if name of graph doesn't exist in brain bundle for plot_rich_club HOT 4
- Adjust legend of plot_rich_club HOT 3
- small_world calculations HOT 1
- Nodal measures for plotting with nilearn HOT 5
- Plots of brains in plotting anatomical network HOT 2
- View Connectome with nilearn HOT 5
- Error with nilearn.plot_connectome HOT 1
- Test for visualisations HOT 1
- Removing old viz modules
- View_corr_mat() - make new || leave old HOT 5
- Make new get_anatomical_layouts() function HOT 1
- Two similar tutorials HOT 1
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