How to Install and Uninstall python311-veusz Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python311-veusz" package
Here is a brief guide to show you how to install python311-veusz on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python311-veusz
Copied
2. Uninstall "python311-veusz" package
Please follow the step by step instructions below to uninstall python311-veusz on openSuSE Tumbleweed:
$
sudo zypper remove
python311-veusz
Copied
3. Information about the python311-veusz package on openSuSE Tumbleweed
Information for package python311-veusz:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-veusz
Version : 3.6.2-1.5
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.0 MiB
Installed : No
Status : not installed
Source package : python-veusz-3.6.2-1.5.src
Upstream URL : https://veusz.github.io/
Summary : Scientific plotting library for Python
Description :
Veusz is a scientific plotting package, designed to create
publication-ready Postscript/PDF/SVG output. It features GUI,
command-line, and scripting interfaces. Graphs are constructed from
widgets, allowing complex layouts to be designed. Veusz supports
plotting functions, data with errors, keys, labels, stacked plots,
multiple plots, contours, shapes and fitting data.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-veusz
Version : 3.6.2-1.5
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.0 MiB
Installed : No
Status : not installed
Source package : python-veusz-3.6.2-1.5.src
Upstream URL : https://veusz.github.io/
Summary : Scientific plotting library for Python
Description :
Veusz is a scientific plotting package, designed to create
publication-ready Postscript/PDF/SVG output. It features GUI,
command-line, and scripting interfaces. Graphs are constructed from
widgets, allowing complex layouts to be designed. Veusz supports
plotting functions, data with errors, keys, labels, stacked plots,
multiple plots, contours, shapes and fitting data.