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1. PSAnalysis.plot() produces similarly labelled plots as in PSAnalysisTutorial as the only output:
Same with plot_annotated_heatmap.
2. It doesn't save files everywhere
i.e. There are no files that always get saved, and in functions with a save or store keyword, the default is not True. Moreover, if I pass a filename to save to, the file gets saved there, rather than in a subdirectory.
3. Clustering isn't done for every plot
It just a bit expensive to do it for both plotting functions instead of saving the results into the class, especially if you're twiddling with plot parameters like color maps or figure sizes.
Actual behavior
1. It actually returns some arrays and an unlabelled heat map.
Maybe matplotlib updated, because setting tick labels on the minor ticks just doesn't work with the code here. (ticks show up with minor=False)
Or maybe it was decided the plot shouldn't be labelled, because the labels are then turned off immediately after. Personally I think they're necessary as the clustering rearranges the trajectories.
It would also be convenient if the actual figure or axes got returned, so users could modify plots further.
2.Files get saved everywhere
Some data gets dumped into pickle files immediately. The class also defines subdirectories to save things into. For example, plots get saved into './plots/my_actual_chosen_filename.pdf'.
Expected behavior
1. PSAnalysis.plot() produces similarly labelled plots as in PSAnalysisTutorial as the only output:

Same with
plot_annotated_heatmap
.2. It doesn't save files everywhere
i.e. There are no files that always get saved, and in functions with a
save
orstore
keyword, the default is not True. Moreover, if I pass a filename to save to, the file gets saved there, rather than in a subdirectory.3. Clustering isn't done for every plot
It just a bit expensive to do it for both plotting functions instead of saving the results into the class, especially if you're twiddling with plot parameters like color maps or figure sizes.
Actual behavior
1. It actually returns some arrays and an unlabelled heat map.

Maybe matplotlib updated, because setting tick labels on the minor ticks just doesn't work with the code here. (ticks show up with
minor=False
)https://github.com/MDAnalysis/mdanalysis/blob/972a8b1893b5e353b9d796b15d6fcdd022a93f00/package/MDAnalysis/analysis/psa.py#L1779-L1780
https://github.com/MDAnalysis/mdanalysis/blob/972a8b1893b5e353b9d796b15d6fcdd022a93f00/package/MDAnalysis/analysis/psa.py#L1787-L1791
Or maybe it was decided the plot shouldn't be labelled, because the labels are then turned off immediately after. Personally I think they're necessary as the clustering rearranges the trajectories.
https://github.com/MDAnalysis/mdanalysis/blob/972a8b1893b5e353b9d796b15d6fcdd022a93f00/package/MDAnalysis/analysis/psa.py#L1798-L1809
It would also be convenient if the actual figure or axes got returned, so users could modify plots further.
2.Files get saved everywhere
Some data gets dumped into pickle files immediately. The class also defines subdirectories to save things into. For example, plots get saved into './plots/my_actual_chosen_filename.pdf'.
https://github.com/MDAnalysis/mdanalysis/blob/972a8b1893b5e353b9d796b15d6fcdd022a93f00/package/MDAnalysis/analysis/psa.py#L1361-L1364
generate_paths
hassave=True, store=True
on by default that saves even more files.3. Clustering is done for every plot
While it's pretty necessary for the dendrogram, users may also want to plot an annotated heatmap without clustering.
Code to reproduce the behavior
Notebook
Plotting part, specifically
Currently version of MDAnalysis
python -c "import MDAnalysis as mda; print(mda.__version__)"
) 0.20.1python -V
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