How to Install and Uninstall python311-healpy Package on openSuSE Tumbleweed

Last updated: June 30,2024

1. Install "python311-healpy" package

Please follow the steps below to install python311-healpy on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python311-healpy
            
                    
    
    Copied

2. Uninstall "python311-healpy" package

Here is a brief guide to show you how to uninstall python311-healpy on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python311-healpy
            
                    
    
    Copied

3. Information about the python311-healpy package on openSuSE Tumbleweed

Information for package python311-healpy:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-healpy
Version : 1.16.6-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 5.5 MiB
Installed : No
Status : not installed
Source package : python-healpy-1.16.6-1.2.src
Upstream URL : https://github.com/healpy/healpy
Summary : Python library to handle pixelated data on the sphere based on HEALPix
Description :
healpy is a Python package to handle pixelated data on the sphere. It is based
on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and
bundles the HEALPix C++ library.
healpy provides utilities to:
* convert between sky coordinates and pixel indices in HEALPix nested and ring schemes
* find pixels within a disk, a polygon or a strip in the sky
* apply coordinate transformations between Galactic, Ecliptic and Equatorial reference frames
* apply custom rotations either to vectors or full maps
* read and write HEALPix maps to disk in FITS format
* upgrade and downgrade the resolution of existing HEALPix maps
* visualize maps in Mollweide, Gnomonic and Cartographic projections
* transform maps to Spherical Harmonics space and back using multi-threaded C++ routines
* compute Auto and Cross Power Spectra from maps and create map realizations from spectra