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This repository was archived by the owner on Sep 11, 2023. It is now read-only.
When using the pyemma.plots.plot_contour function, adjusting the vmax and vmin does not change the labels on the associated color bar. I believe that I should be able to create my own color bar to alleviate this issue, but it would be great if I didn't need to use that work-around.
Here's the command I used to generate the plot:
pyemma.plots.plot_contour(
*data.T, dadp_msm.metastable_distributions[i][dadp_full_traj], ax=ax, cmap='jet',
mask=True, method='nearest',
#cbar_label='metastable distribution {}'.format(i + 1),
vmin = 0,vmax = 0.03)
The plot itself responds to the change in vmin and vmax, just not the colorbar tick marks.
Pyemma version 2.5.11, Ubuntu 22.04
Package list atttached
When using the pyemma.plots.plot_contour function, adjusting the vmax and vmin does not change the labels on the associated color bar. I believe that I should be able to create my own color bar to alleviate this issue, but it would be great if I didn't need to use that work-around.
Here's the command I used to generate the plot:
pyemma.plots.plot_contour(
*data.T, dadp_msm.metastable_distributions[i][dadp_full_traj], ax=ax, cmap='jet',
mask=True, method='nearest',
#cbar_label='metastable distribution {}'.format(i + 1),
vmin = 0,vmax = 0.03)
The plot itself responds to the change in vmin and vmax, just not the colorbar tick marks.
Pyemma version 2.5.11, Ubuntu 22.04
Package list atttached
pyemma_conda_packges.txt
