audplot 1.4.1

A Python plotting package

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