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Source: joypy
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Steffen Moeller <moeller@debian.org>,
Nilesh Patra <nilesh@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
python3-setuptools,
python3-all,
python3-matplotlib,
python3-numpy,
python3-pandas,
python3-scipy,
python3-pytest
Standards-Version: 4.6.0
Vcs-Browser: https://salsa.debian.org/python-team/packages/joypy
Vcs-Git: https://salsa.debian.org/python-team/packages/joypy.git
Homepage: https://github.com/sbebo/joypy
Rules-Requires-Root: no
Package: python3-joypy
Architecture: all
Depends: ${python3:Depends},
${misc:Depends},
python3-matplotlib,
python3-numpy,
python3-pandas,
python3-scipy
Suggests: r-cran-ggridges,
r-cran-ggjoy
Description: ridgeline-/joyplots plotting routine
JoyPy is a one-function Python package based on matplotlib + pandas
with a single purpose: drawing joyplots (a.k.a. ridgeline plots).
Joyplots are stacked, partially overlapping density plots.
They are a nice way to plot data to visually compare distributions,
especially those that change across one dimension (e.g., over time).
Though hardly a new technique, they have become very popular lately
thanks to the R packages ggridges and ggjoy.
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