Comments (3)
I just ran the notebook and it ran quickly and correctly. The only thing to note is that we should have a requirements.txt
file in the root directory fixing the minimum versions of networkx and numpy (at least).
- What functionality should be added?
For now, I'd rather do some more development and then decide on what to include on the tutorial.
- Do the calls make sense?
Yes, I see no red flags here.
- Any bugs in addition to the issues currently open?
I can see no bugs for now.
- Performance concerns?
I think a Tutorial 1 shouldn't be concerned with performance. If you mean to ask about performance in general, then we can perhaps discuss that in a separate issue.
from xgi.
This is a good suggestion. I added requirements files similar to the way that NetworkX does it. What do you think about parsing the requirements files in the setup.py file similar to the way that NetworkX does it? Or should we keep them separate?
from xgi.
It's not necessary now, we might have to do it at some point in the future.
from xgi.
Related Issues (20)
- Warning when specifying node colors HOT 2
- change size of node labels? HOT 1
- Add NBQA
- Flagged lattices? HOT 3
- Add tensor functionality to eignevector centralities
- incorporate Network Geometry with Flavours
- incorporate pseudofractal generative models
- Allow `draw_nodes` to accept an iterable as the first argument.
- Should draw with convex hull be the default and only behavior? HOT 6
- Returning node positions from `xgi.draw` HOT 3
- how to calculate the average path length? HOT 9
- Add more statistics functionality HOT 1
- Fix warning in `draw_multilayer`
- katz centrality should return the same data type as the other centrality measures
- Add recipe for returning all IDs corresponding to the maximum.
- `rescale_sizes` doesn't work for numerical inputs HOT 3
- Other Resources should contain EasyGraph HOT 2
- weighted projection of hypergraphs HOT 3
- Add a way to specify `vmin` and `vmax` HOT 2
- add back edgecolor argument to draw hulls with white face but colored contour HOT 3
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from xgi.