1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
|
Source: python-altair
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
Santiago Ruano Rincón <santiago.ruano-rincon@imt-atlantique.fr>
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
pybuild-plugin-pyproject,
python3-all,
# python3-docutils,
python3-flake8,
python3-flake8-black,
python3-ipython,
python3-jinja2,
python3-jsonschema,
# python3-numpy,
# python3-numpydoc,
python3-pandas,
# python3-pil,
python3-pytest,
# python3-recommonmark,
python3-setuptools,
# python3-sphinx,
# python3-sphinx-rtd-theme,
python3-toolz,
python3-vega-datasets,
python3-hatchling
Standards-Version: 4.6.2
Homepage: https://altair-viz.github.io/
Rules-Requires-Root: no
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-altair
Vcs-Git: https://salsa.debian.org/python-team/packages/python-altair.git
#Testsuite: autopkgtest-pkg-python
Package: python3-altair
Architecture: all
Depends: ${python3:Depends}, ${misc:Depends}
Suggests: python-altair-doc
Description: Declarative statistical visualization library for Python
Altair is a declarative statistical visualization library, based on Vega
(A Visualization Grammar) and Vega-Lite. This elegant simplicity produces
beautiful and effective visualizations with a minimal amount of code.
.
This package installs the library for Python 3.
# TODO: Most of the html documentation fetches JS scripts from an external
# source (cdn.jsdelivr.net). Enable building it just when a local copy of
# those scripts becomes available. If ever possible.
#Package: python-altair-doc
#Architecture: all
#Section: doc
#Depends: ${sphinxdoc:Depends}, ${misc:Depends}
#Description: Declarative statistical visualization library for Python
# Altair is a declarative statistical visualization library, based on Vega
# (A Visualization Grammar) and Vega-Lite. This elegant simplicity produces
# beautiful and effective visualizations with a minimal amount of code.
# .
# This is the common documentation package.
|
