How to Install and Uninstall python-pykdtree Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 26,2024

1. Install "python-pykdtree" package

Please follow the step by step instructions below to install python-pykdtree on Ubuntu 16.04 LTS (Xenial Xerus)


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

This guide let you learn how to uninstall python-pykdtree on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-pykdtree
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-pykdtree package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-pykdtree
Priority: optional
Section: universe/python
Installed-Size: 156
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Architecture: amd64
Source: pykdtree
Version: 0.2-1
Depends: libc6 (>= 2.4), libgomp1 (>= 4.2.1), python (>= 2.7), python (<< 2.8), python-numpy
Filename: pool/universe/p/pykdtree/python-pykdtree_0.2-1_amd64.deb
Size: 38972
MD5sum: 7a35c83f4212fe965181603a73e4832e
SHA1: e52d19d54fd4bf4871dc2f2a7ef95b75a97470b0
SHA256: aa9eae68a13f2e634ae5b7c6ffc1c5029dabb49b0c1b2e87ee98531e2d621719
Description-en: Fast kd-tree implementation with OpenMP-enabled queries
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.
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The implementation is based on scipy.spatial.cKDTree and libANN by
combining the best features from both and focus on implementation
efficiency.
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The interface is similar to that of scipy.spatial.cKDTree except only
Euclidean distance measure is supported.
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Queries are optionally multithreaded using OpenMP.
Description-md5: e514f8c5a3fb330300337db0f5aeb3b5
Homepage: https://pypi.python.org/pypi/pykdtree
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu