How to Install and Uninstall python3-xarray.noarch Package on Fedora 38

Last updated: October 31,2024

1. Install "python3-xarray.noarch" package

Please follow the guidance below to install python3-xarray.noarch on Fedora 38


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-xarray.noarch
            
                    
    
    Copied

2. Uninstall "python3-xarray.noarch" package

Learn how to uninstall python3-xarray.noarch on Fedora 38:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-xarray.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-xarray.noarch package on Fedora 38

Last metadata expiration check: 0:18:38 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-xarray
Version : 2023.8.0
Release : 1.fc38
Architecture : noarch
Size : 2.4 M
Source : python-xarray-2023.8.0-1.fc38.src.rpm
Repository : updates
Summary : N-D labeled arrays and datasets in Python
URL : https://github.com/pydata/xarray
License : Apache-2.0
Description : Xarray (formerly xray) is an open source project and Python package that
: makes working with labelled multi-dimensional arrays simple, efficient,
: and fun!
:
: Xarray introduces labels in the form of dimensions, coordinates and
: attributes on top of raw NumPy-like arrays, which allows for a more
: intuitive, more concise, and less error-prone developer experience. The
: package includes a large and growing library of domain-agnostic functions
: for advanced analytics and visualization with these data structures.
:
: Xarray was inspired by and borrows heavily from pandas, the popular data
: analysis package focused on labelled tabular data. It is particularly
: tailored to working with netCDF files, which were the source of xarray’s
: data model, and integrates tightly with dask for parallel computing.