Python package for visualizing cluster measures.
Project description
ViewClust
Python package for visualizing cluster measures.
Free software: MIT license
Documentation: https://viewclust.readthedocs.io.
Features
Calculates job usage based on inputs from Slurm or other formatted data frames
Plots cumulative and instantaneous usage
Supports report building by grouping accounts together into folder structures
Plots job history with respect to job shape
Accepts dynamic targets for account and system analysis
Provides a basic interface for generating job data frames from Slurm
Downsampling of figures for easier sharing
Figures can write to html for sharing on various web resources
Credits
Developed for:
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.3.1 (2020-06-24)
Bug fix for the init py file
0.3.0 (2020-06-24)
Major versioning bump
User area colouring in usage figures
Mem info plotting support
Serialization of user
Removed violin plot. Moved to ViewClust-Vis
Removed use_suite. Moved to ViewClust-Vis
Removed job_stack. Moved to ViewClust-Vis
Deprecated cumu/insta plotting function. Supported versions moved to ViewClust-Vis
0.2.2 (2020-05-07)
Added support for user breakdown of activity on plots
0.2.1 (2020-04-14)
Fixed other half of instaplot bug
0.2.0 (2020-04-14)
Fix use suite string passing bug
0.1.9 (2020-04-14)
Fix insta plot pre reference bug
0.1.8 (2020-04-09)
Fix syntax based errors
0.1.7 (2020-04-09)
Fix failing doc build
0.1.6 (2020-04-09)
GPU usage added back
README fixes to include credits and features
Figures now return their handles for extra processing if needed
Figures can now have their polling rates downsampled for ease of sharing
Prepared responses for figures section added in to documentation
0.1.5 (2020-03-12)
Inclusion of API documentation
0.1.4 (2020-03-11)
Overhauled the documentation usage section
0.1.3 (2020-03-03)
Reduced versioning complexity
0.1.2 (2020-03-03)
Testing distributions changed
0.1.1 (2020-03-03)
File inclusion
0.1.0 (2020-03-03)
First release on PyPI.
Project details
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