Comments (5)
This is a big find! I'm sorry I was in the meeting yesterday to discuss it with you.
We could create a copy of the graph and take threshold of the edge_weight
attribute in that and then dispose of it when the plotting is done. This is clunky for sure, but since we usually only decide to plot one or two networks in this way, hopefully wouldn't be cripplingly time consuming.
The alternative is to take the nilearn method apart and rewrite it in such a way that accepts a different way of specifying which edges exist. Having taken a look at these methods myself, this looks like quite a challenge. perhaps we should communicate more with nilearn. I'm sure they would be interested to hear about the problems we're having
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Sorry for not keeping this up to date @Islast.
I recommended that @wingedRuslan just pass the original graph (G
) before it is thresholded for the plotting. Should work fine I think!
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Smart!
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I think we can close this, right? Addressed in #145
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@KirstieJane, yeah, that's right!
Closing the issue, addressed in #145
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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
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- Include small world in plot_network_measures HOT 3
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