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 1.4.7 (2024-04-26)¶
Added: support for Python 3.11
Added: support for Python 3.12
Fixed: avoid
pandas
future warning forpandas.DataFrame.applymap()
Fixed: avoid deprecation warning by replacing
pkg_resources
internally withimportlib.metadata
Removed: support for Python 3.7
Version 1.4.6 (2022-12-21)¶
Changed: split API documentation into sub-pages for each function
Version 1.4.5 (2022-12-06)¶
Fixed: x-axis scaling for
audplot.waveform()
. x-axis values now always correspond to the actual number of samples of the signal
Version 1.4.4 (2022-12-02)¶
Added: support for Python 3.10
Changed: increase speed of
audplot.waveform()
by factor >100 for long signals
Version 1.4.3 (2022-10-14)¶
Fixed: require
matplotlib!=3.6.1
to avoid failing ofaudplot.distribution()
Version 1.4.2 (2022-01-07)¶
Fixed: make
audplot.scatter(..., fit=True)
plots reproducible by using a fixed seed for bootstrapping
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
andorder
arguments toaudplot.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 toaudplot.confusion_matrix()
Changed: show grid lines and remove top ad right axes as default
Changed: Use
seaborn.histplot()
inaudplot.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 toaudplot.confusion_matrix()
which allows showing percentage and absolute numbers in the same figureChanged: switch from
True
toFalse
as default forpercentage
argument ofaudplot.confusion_matrix()
Version 1.0.3 (2021-07-22)¶
Fixed: install missing
libsndfile1
when publishing docsFixed: calculate minimum and maximum in
scatter()
andseries()
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