How to Install and Uninstall python312-netCDF4 Package on openSuSE Tumbleweed

Last updated: July 03,2024

1. Install "python312-netCDF4" package

Please follow the steps below to install python312-netCDF4 on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-netCDF4
            
                    
    
    Copied

2. Uninstall "python312-netCDF4" package

This guide covers the steps necessary to uninstall python312-netCDF4 on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-netCDF4
            
                    
    
    Copied

3. Information about the python312-netCDF4 package on openSuSE Tumbleweed

Information for package python312-netCDF4:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-netCDF4
Version : 1.6.5-2.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.8 MiB
Installed : No
Status : not installed
Source package : python-netCDF4-1.6.5-2.2.src
Upstream URL : https://github.com/Unidata/netcdf4-python
Summary : Python interface to netCDF 3 and 4
Description :
netCDF version 4 has many features not found in earlier versions of
the library and is implemented on top of HDF5. This module can read
and write files in both the new netCDF 4 and the old netCDF 3
format, and can create files that are readable by HDF5 clients. The
API modelled after Scientific.IO.NetCDF, and should be familiar to
users of that module.
Most new features of netCDF 4 are implemented, such as multiple unlimited
dimensions, groups and zlib data compression. All the new numeric data types
(such as 64 bit and unsigned integer types) are implemented. Compound and
variable length (vlen) data types are supported, but the enum and opaque data
types are not. Mixtures of compound and vlen data types (compound types
containing vlens, and vlens containing compound types) are not supported.