Histogram plot

[thempel]

This multi-dimension histogram plot function was requested at the last pyemma workshop after I showed something similar in my presentation. It's nice to have but not very quantitative since histograms are scaled in order to be visible even for many dimensions. It produces graphs like this:

[franknoe]

Nice!  Sent from my T-Mobile 4G LTE Device

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-------- Original message -------- From: thempel <notifications@github.com> Date: 3/1/18 11:48 (GMT-05:00) To: markovmodel/PyEMMA <PyEMMA@noreply.github.com> Cc: Subscribed <subscribed@noreply.github.com> Subject: [markovmodel/PyEMMA] Histogram plot (#1264) This multi-dimension histogram plot function was requested at the last pyemma workshop after I showed something similar in my presentation. It's nice to have but not very quantitative since histograms are scaled in order to be visible even for many dimensions. It produces graphs like this: You can view, comment on, or merge this pull request online at:   #1264 Commit Summary [plots] added dimension histogram plotting function [plots.plots1d] added simple test for plot_feature_histograms [plots.plots1d] better kwargs handling [plots.plots1d] minor cosmetic changes [plots.plots1d] arg to switch-off high dim warning for feature hist plot [plots.plots1d] added test File Changes M pyemma/plots/__init__.py (1) A pyemma/plots/plots1d.py (107) A pyemma/plots/tests/test_plots1d.py (42) Patch Links: https://github.com/markovmodel/PyEMMA/pull/1264.patch https://github.com/markovmodel/PyEMMA/pull/1264.diff — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or mute the thread. {"api_version":"1.0","publisher":{"api_key":"05dde50f1d1a384dd78767c55493e4bb","name":"GitHub"},"entity":{"external_key":"github/markovmodel/PyEMMA","title":"markovmodel/PyEMMA","subtitle":"GitHub repository","main_image_url":"https://cloud.githubusercontent.com/assets/143418/17495839/a5054eac-5d88-11e6-95fc-7290892c7bb5.png","avatar_image_url":"https://cloud.githubusercontent.com/assets/143418/15842166/7c72db34-2c0b-11e6-9aed-b52498112777.png","action":{"name":"Open in GitHub","url":"https://github.com/markovmodel/PyEMMA"}},"updates":{"snippets":[{"icon":"DESCRIPTION","message":"Histogram plot (#1264)"}],"action":{"name":"View Pull Request","url":"#1264"}}}

[marscher]

passed to?

[marscher]

Very nice figure 👍 Can you add this fancy new feature to the change log as well? Then we're good to merge.

[codecov]

Codecov Report

Merging #1264 into devel will decrease coverage by <.01%.
The diff coverage is 85%.

@@            Coverage Diff             @@
##            devel    #1264      +/-   ##
==========================================
- Coverage   91.22%   91.21%   -0.01%     
==========================================
  Files         219      221       +2     
  Lines       23822    23882      +60     
==========================================
+ Hits        21731    21784      +53     
- Misses       2091     2098       +7

Impacted Files	Coverage Δ
pyemma/plots/__init__.py	100% <100%> (ø)	⬆️
pyemma/plots/tests/test_plots1d.py	100% <100%> (ø)
pyemma/plots/plots1d.py	78.57% <78.57%> (ø)
pyemma/coordinates/data/util/traj_info_backends.py	92.48% <0%> (+0.93%)	⬆️

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[marscher]

Thank you again! Good job!