How to Install and Uninstall python39-PyWavelets Package on openSuSE Tumbleweed
Last updated: December 27,2024
1. Install "python39-PyWavelets" package
This guide let you learn how to install python39-PyWavelets on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-PyWavelets
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2. Uninstall "python39-PyWavelets" package
Please follow the instructions below to uninstall python39-PyWavelets on openSuSE Tumbleweed:
$
sudo zypper remove
python39-PyWavelets
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3. Information about the python39-PyWavelets package on openSuSE Tumbleweed
Information for package python39-PyWavelets:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-PyWavelets
Version : 1.4.1-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.4 MiB
Installed : No
Status : not installed
Source package : python-PyWavelets-1.4.1-1.8.src
Upstream URL : https://github.com/PyWavelets/pywt
Summary : PyWavelets is a Python wavelet transforms module
Description :
PyWavelets is a Python wavelet transforms module that can do:
* 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
* 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
* 1D and 2D Wavelet Packet decomposition and reconstruction
* Computing Approximations of wavelet and scaling functions
* Over seventy built-in wavelet filters and support for custom wavelets
* Single and double precision calculations
* Results compatibility with Matlab Wavelet Toolbox
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-PyWavelets
Version : 1.4.1-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.4 MiB
Installed : No
Status : not installed
Source package : python-PyWavelets-1.4.1-1.8.src
Upstream URL : https://github.com/PyWavelets/pywt
Summary : PyWavelets is a Python wavelet transforms module
Description :
PyWavelets is a Python wavelet transforms module that can do:
* 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
* 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
* 1D and 2D Wavelet Packet decomposition and reconstruction
* Computing Approximations of wavelet and scaling functions
* Over seventy built-in wavelet filters and support for custom wavelets
* Single and double precision calculations
* Results compatibility with Matlab Wavelet Toolbox