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

Last updated: December 28,2024

1. Install "python3-colorspacious" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-colorspacious
            
                    
    
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2. Uninstall "python3-colorspacious" package

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


    
        
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                sudo apt remove
            
                        
                python3-colorspacious
            
                    
    
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            $
        

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

Package: python3-colorspacious
Architecture: all
Version: 1.1.2-2
Priority: optional
Section: universe/python
Source: colorspacious
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sandro Tosi
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 129
Depends: python3-numpy, python3:any
Filename: pool/universe/c/colorspacious/python3-colorspacious_1.1.2-2_all.deb
Size: 29220
MD5sum: 6f5dbe37b50c5ef57508b8f3587a4157
SHA1: 4642d1d692d74a0acb87cc513a10a1fce1d23150
SHA256: 6be529f25bf194af848fb5b7ed82d8c1a6aaa757a1569939d95932355dc2c760
SHA512: 237b988db8e75a64100a33b465d04aa657efe2b016d6984d97dbbf4696939288a62cd9bfae020f31fe494e1e8c297bd43f6ab47dbb9dd140b9d75be75b46ed8f
Homepage: https://github.com/njsmith/colorspacious
Description-en: library for doing colorspace conversions - Python 3.x
Colorspacious is a powerful, accurate, and easy-to-use library for
performing colorspace conversions.
.
In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), we also include: color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009); a
complete implementation of `CIECAM02
`_; and the perceptually
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).
.
This package contains the python 3 version of colorspacious
Description-md5: cbec0f67cf742e92c7e676d07803c672