How to Install and Uninstall python3-numpy-groupies Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 21,2024

1. Install "python3-numpy-groupies" package

Learn how to install python3-numpy-groupies on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-numpy-groupies
            
                    
    
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2. Uninstall "python3-numpy-groupies" package

Please follow the steps below to uninstall python3-numpy-groupies on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-numpy-groupies
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-numpy-groupies package on Ubuntu 21.10 (Impish Indri)

Package: python3-numpy-groupies
Architecture: all
Version: 0.9.13-1
Priority: optional
Section: universe/python
Source: python-numpy-groupies
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 93
Depends: python3:any
Filename: pool/universe/p/python-numpy-groupies/python3-numpy-groupies_0.9.13-1_all.deb
Size: 19732
MD5sum: d47291fe8568988aed611e92ee7cb52f
SHA1: 451f0435493413f2baccd1caefe4dcb8de4b11fa
SHA256: 5b4b502aba550fde10d76d119948eff57de9adc764070b63c3c895ceefaf1d3c
SHA512: a68440cb6019de45866b547b14286df4c637c1bf27403e02cc79df8f3061d39af150b30c7a49272dc3074a3fe3d2f9359db5b86bc5140494d3e76d8d618dc2ef
Homepage: https://github.com/ml31415/numpy-groupies
Description-en: performs operations on/with subsets of n-dim arrays
This package consists of a couple of optimised tools for doing things
that can roughly be considered "group-indexing operations". The most
prominent tool is `aggregate`.
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`aggregate` takes an array of values, and an array giving the group
number for each of those values. It then returns the sum (or mean, or
std, or any, ...etc.) of the values in each group. You have probably
come across this idea before, using `matlab` accumarray, `pandas`
groupby, or generally MapReduce algorithms and histograms.
.
There are different implementations of `aggregate` provided, based on
plain `numpy`, `numba` and `weave`. Performance is a main concern, and
so far this implementation comfortably beats similar implementations in
other packages (check the benchmarks).
Description-md5: ea3700b60def4593edb3698e6207d236