Comments (3)
KirstieJane
commented on August 22, 2024
Hi @rmarkello! I think @Islast had the day off today, and she might have some thoughts, but I’m pretty confident that this seems very useful, and I’m definitely sure that we’d welcome a pull request if it’s easy to do!
From my point of view, we’ve passed what I know about writing code (this makes me feel old and busy) so if your PR had an update to the CONTRIBUTING.md file that explained what would be expected for future contributors that would be 🔥🔥🔥
Thank you!!
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Islast
commented on August 22, 2024
Ah, sorry I missed this. Linting has been on the to do list for a while without me getting around to it, so I would be delighted if you want to open a pull request! ✨ You're absolutely right that it makes things easier for new contributors. I agree with @KirstieJane that it is worth updating the contributing docs to explain this, but don't feel that this is your responsibility! Someone else will update the docs if you don't 🌺
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Islast
commented on August 22, 2024
This is addressed (at least for the core BrainNetworksInPython packages) in #74
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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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