Install this version:
emerge -a =dev-python/matplotlib-inline-0.2.2If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/matplotlib-inline-0.2.2Or alternatively:
emerge --autounmask-write -a =dev-python/matplotlib-inline-0.2.2| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.2.2 | 8 | ~alpha ~amd64 ~arm ~arm64 ~hppa ~loong ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~arm64-macos ~x64-macos | 0 |
# Copyright 2021-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=flit
PYTHON_COMPAT=( python3_{12..13} )
inherit distutils-r1
DESCRIPTION="Inline Matplotlib backend for Jupyter"
HOMEPAGE="
https://github.com/ipython/matplotlib-inline/
https://pypi.org/project/matplotlib-inline/
"
SRC_URI="
https://github.com/ipython/matplotlib-inline/archive/${PV}.tar.gz
-> ${P}.gh.tar.gz
"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~alpha ~amd64 ~arm ~arm64 ~hppa ~loong ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~arm64-macos ~x64-macos"
# Although in theory we could depend on matplotlib, upstream does not.
# This is because the sole purpose of the package is to be loaded by
# ipython (also not a dependency!) as a response to interactive use of
# the "%matplotlib" magic.
#
# In order to be seamless and straightforward, this backend is always
# installed and just requires users using matplotlib, to install
# matplotlib before importing and using it.
RDEPEND="
dev-python/traitlets[${PYTHON_USEDEP}]
"
BDEPEND="
test? (
dev-python/matplotlib[${PYTHON_USEDEP}]
dev-python/nbdime[${PYTHON_USEDEP}]
dev-python/notebook[${PYTHON_USEDEP}]
)
"
EPYTEST_PLUGINS=( nbval )
distutils_enable_tests pytest
dev-python/traitlets[]
test? ( dev-python/matplotlib[] dev-python/nbdime[] dev-python/notebook[] )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | matplotlib-inline-0.2.2.gh.tar.gz | 107569 bytes | https://github.com/ipython/matplotlib-inline/archive/0.2.2.tar.gz |