A Python plotting package
Project description
audplot includes plotting functions targeted at signal processing (e.g. spectral images) and machine learning problems (e.g. confusion matrix).
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Version 1.4.1 (2022-01-04)
Added: Python 3.9 support
Fixed: contributing text
Removed: Python 3.6 support
Version 1.4.0 (2021-12-10)
Added: fit and order arguments to audplot.scatter()
Changed: audplot.scatter() shows just a scatter plot with default arguments
Version 1.3.2 (2021-11-17)
Changed: show frequency instead of counts on the y-axis for audplot.distribution()
Fixed: audplot.distribution() bins now independently for each distribution, which ensures the same distribution is always plotted the same way
Version 1.3.1 (2021-11-03)
Fixed: building public documentation in CI pipeline
Version 1.3.0 (2021-11-03)
Added: audplot.waveform()
Added: label_aliases argument to audplot.confusion_matrix()
Changed: show grid lines and remove top ad right axes as default
Changed: Use seaborn.histplot() in audplot.distribution()
Fixed: xticks position for time axes
Version 1.2.0 (2021-07-30)
Added: audplot.detection_error_tradeoff()
Version 1.1.0 (2021-07-27)
Added: audplot.human_format()
Added: show_both argument to audplot.confusion_matrix() which allows showing percentage and absolute numbers in the same figure
Changed: switch from True to False as default for percentage argument of audplot.confusion_matrix()
Version 1.0.3 (2021-07-22)
Fixed: install missing libsndfile1 when publishing docs
Fixed: calculate minimum and maximum in scatter() and series()
Version 1.0.2 (2021-07-13)
Added: cepstrum(), signal(), spectrum()
Version 1.0.1 (2021-07-05)
Fixed: URLs to documentation and source code inside Python package
Version 1.0.0 (2021-06-28)
Added: initial release
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