How to Install and Uninstall python3-PyWavelets Package on openSUSE Leap
Last updated: December 25,2024
1. Install "python3-PyWavelets" package
Please follow the steps below to install python3-PyWavelets on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-PyWavelets
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2. Uninstall "python3-PyWavelets" package
Please follow the steps below to uninstall python3-PyWavelets on openSUSE Leap:
$
sudo zypper remove
python3-PyWavelets
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3. Information about the python3-PyWavelets package on openSUSE Leap
Information for package python3-PyWavelets:
-------------------------------------------
Repository : Main Repository
Name : python3-PyWavelets
Version : 1.1.1-bp155.2.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.5 MiB
Installed : No
Status : not installed
Source package : python-PyWavelets-1.1.1-bp155.2.14.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 : Main Repository
Name : python3-PyWavelets
Version : 1.1.1-bp155.2.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 8.5 MiB
Installed : No
Status : not installed
Source package : python-PyWavelets-1.1.1-bp155.2.14.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