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

Last updated: November 22,2024

1. Install "python3-pykdtree" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-pykdtree
            
                    
    
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2. Uninstall "python3-pykdtree" package

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


    
        
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                sudo apt remove
            
                        
                python3-pykdtree
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-pykdtree package on Ubuntu 21.10 (Impish Indri)

Package: python3-pykdtree
Architecture: amd64
Version: 1.3.4+ds-1build1
Priority: optional
Section: universe/python
Source: pykdtree
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 168
Depends: libc6 (>= 2.4), libgomp1 (>= 4.9), python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3:any
Filename: pool/universe/p/pykdtree/python3-pykdtree_1.3.4+ds-1build1_amd64.deb
Size: 52668
MD5sum: 11c5109e163fc1e975a13d2aca11714a
SHA1: d03ecb0eee2b5e40b753e545cda91c140f8d360f
SHA256: d5a7fce0ee9184026f5c5904feafd2b31972d3428013b10519d53c7ed5bb0bd1
SHA512: 5d7175f5b39554cf98b25449c96f12ae5cd80c2fb32cab89348212ad7a3152dd2db869fd537c4963d8b837bcf987040d130e8c80a3a8d851078034476cf542d0
Homepage: https://github.com/storpipfugl/pykdtree
Description-en: Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version)
pykdtree is a kd-tree implementation for fast nearest neighbour search
in Python. The aim is to be the fastest implementation around for
common use cases (low dimensions and low number of neighbours) for
both tree construction and queries.
.
The implementation is based on scipy.spatial.cKDTree and libANN by
combining the best features from both and focus on implementation
efficiency.
.
The interface is similar to that of scipy.spatial.cKDTree except only
Euclidean distance measure is supported.
.
Queries are optionally multithreaded using OpenMP.
.
This is the Python 3 version of the package.
Description-md5: e094fb0c160aff1288a8533f1d4ad413