How to Install and Uninstall python39-contourpy Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "python39-contourpy" package
In this section, we are going to explain the necessary steps to install python39-contourpy on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-contourpy
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2. Uninstall "python39-contourpy" package
Please follow the steps below to uninstall python39-contourpy on openSuSE Tumbleweed:
$
sudo zypper remove
python39-contourpy
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3. Information about the python39-contourpy package on openSuSE Tumbleweed
Information for package python39-contourpy:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-contourpy
Version : 1.0.7-1.7
Arch : x86_64
Vendor : openSUSE
Installed Size : 617.1 KiB
Installed : No
Status : not installed
Source package : python-contourpy-1.0.7-1.7.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 : openSUSE-Tumbleweed-Oss
Name : python39-contourpy
Version : 1.0.7-1.7
Arch : x86_64
Vendor : openSUSE
Installed Size : 617.1 KiB
Installed : No
Status : not installed
Source package : python-contourpy-1.0.7-1.7.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.