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

Last updated: May 20,2024

1. Install "python-abstract-rendering" package

This is a short guide on how to install python-abstract-rendering on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-abstract-rendering
            
                    
    
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2. Uninstall "python-abstract-rendering" package

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


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

Package: python-abstract-rendering
Priority: optional
Section: universe/python
Installed-Size: 108
Maintainer: Ubuntu Developers
Original-Maintainer: Diane Trout
Architecture: amd64
Source: abstract-rendering
Version: 0.5.1-1ubuntu1
Depends: python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.4)
Filename: pool/universe/a/abstract-rendering/python-abstract-rendering_0.5.1-1ubuntu1_amd64.deb
Size: 29566
MD5sum: a2d9721ab7ba9500a7d16168ec68eb75
SHA1: 6324c638fa12171e531486464c45860618e314ba
SHA256: 03813eab6bf799ff3c01686365dfaf5bbbcf0b83bc7d92ba3742ae0185940e44
Description-en: Rendering as a binning process for Python 2
In most visualization systems, the pixels are tucked away under
levels of geometric abstraction in the rendering system (such as
circles, squares, and text). Abstract Rendering takes the opposite
approach: expose the pixels and gain powerful pixel-level
control. This pixel-level power is a complement to many existing
visualization techniques. It is an elaboration on rendering, not an
analytic or projection step, so it can be used as epilogue to many
existing techniques.
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This contains the Python 2 version
Description-md5: 6970070a1bd6dfc4b23a49718cdea798
Homepage: https://github.com/ContinuumIO/abstract_rendering
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu