How to Install and Uninstall python311-contourpy Package on openSUSE Leap
Last updated: November 22,2024
1. Install "python311-contourpy" package
This guide covers the steps necessary to install python311-contourpy on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
python311-contourpy
Copied
2. Uninstall "python311-contourpy" package
Please follow the instructions below to uninstall python311-contourpy on openSUSE Leap:
$
sudo zypper remove
python311-contourpy
Copied
3. Information about the python311-contourpy package on openSUSE Leap
Information for package python311-contourpy:
--------------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python311-contourpy
Version : 1.0.7-150400.9.3.1
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 673.1 KiB
Installed : No
Status : not installed
Source package : python-contourpy-1.0.7-150400.9.3.1.src
Upstream URL : https://github.com/contourpy/contourpy
Summary : Python library for calculating contours of 2D quadrilateral grids
Description :
A Python library for calculating contours of 2D quadrilateral grids
It contains the 2005 and 2014 algorithms used in Matplotlib as well
as a newer algorithm that includes more features and is available
in both serial and multithreaded versions. It provides an easy way
for Python libraries to use contouring algorithms without having
to include Matplotlib as a dependency.
--------------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python311-contourpy
Version : 1.0.7-150400.9.3.1
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 673.1 KiB
Installed : No
Status : not installed
Source package : python-contourpy-1.0.7-150400.9.3.1.src
Upstream URL : https://github.com/contourpy/contourpy
Summary : Python library for calculating contours of 2D quadrilateral grids
Description :
A Python library for calculating contours of 2D quadrilateral grids
It contains the 2005 and 2014 algorithms used in Matplotlib as well
as a newer algorithm that includes more features and is available
in both serial and multithreaded versions. It provides an easy way
for Python libraries to use contouring algorithms without having
to include Matplotlib as a dependency.