How to Install and Uninstall python3-xarray-datatree Package on Kali Linux

Last updated: December 25,2024

1. Install "python3-xarray-datatree" package

In this section, we are going to explain the necessary steps to install python3-xarray-datatree on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
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                sudo apt install
            
                        
                python3-xarray-datatree
            
                    
    
    Copied

2. Uninstall "python3-xarray-datatree" package

This tutorial shows how to uninstall python3-xarray-datatree on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-xarray-datatree
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-xarray-datatree package on Kali Linux

Package: python3-xarray-datatree
Source: xarray-datatree
Version: 0.0.14-1
Installed-Size: 439
Maintainer: Debian GIS Project
Architecture: all
Depends: python3:any
Size: 44304
SHA256: e8576ad22ccee1f2efeb48ef0a50a09ed4a75ec320522a7a323667c4d3f8ba19
SHA1: c4e133edca283bddc38e52d37d213a281151567a
MD5sum: 742cb5e33a1631fbca2d77f9b41d0209
Description: Tree-like hierarchical data structure for xarray
Datatree provides hierarchical data structure, more flexible than
a single xarray.Dataset object.
It is able to represent netCDF files / Zarr stores with multiple
nested groups in a single in-memory object, but datatree.DataTree
objects have many other uses, such as:
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* organising many related datasets, e.g. results of the same
experiment with different parameters, or simulations of the same
system using different models,
* analysing similar data at multiple resolutions simultaneously,
such as when doing a convergence study,
* comparing heterogenous but related data, such as experimental
and theoretical data, I/O with nested data formats such as
netCDF / Zarr groups.
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The approach used is based on benbovy's DatasetNode example, the
basic idea is that each tree node wraps a up to a single
xarray.Dataset. The differences are that datatree:
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* uses a node structure inspired by anytree for the tree,
* implements path-like getting and setting,
* has functions for mapping user-supplied functions over every
node in the tree,
* automatically dispatches some of xarray.Dataset's API over every
node in the tree (such as .isel),
* has a bunch of tests,
* has a printable representation
Description-md5:
Homepage: https://github.com/xarray-contrib/datatree
Section: python
Priority: optional
Filename: pool/main/x/xarray-datatree/python3-xarray-datatree_0.0.14-1_all.deb