How to Install and Uninstall python-pyqtgraph-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 12,2024

1. Install "python-pyqtgraph-doc" package

This guide let you learn how to install python-pyqtgraph-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-pyqtgraph-doc
            
                    
    
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2. Uninstall "python-pyqtgraph-doc" package

Please follow the guidelines below to uninstall python-pyqtgraph-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-pyqtgraph-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-pyqtgraph-doc package on Ubuntu 21.10 (Impish Indri)

Package: python-pyqtgraph-doc
Architecture: all
Version: 0.12.2-1
Priority: optional
Section: universe/doc
Source: python-pyqtgraph
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9761
Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.1+dfsg)
Filename: pool/universe/p/python-pyqtgraph/python-pyqtgraph-doc_0.12.2-1_all.deb
Size: 630844
MD5sum: 2a5920963cd889df0ac70f27a726a7c3
SHA1: 4e90511f7a0adb72d194e233d363d609f321cc9a
SHA256: 05d62e8c4ab6ff102302464b770175ab5a49ccd039b2bce949294f74ba2c4c9f
SHA512: 5bd1a794d51269139e228856a39b99f5c6ee0b17c1814bae0ef6f8dbf602103b9027ab603e9e9772a8fe20c633368f27e3ffbf0503b58a0be0012dc8fe89abb1
Homepage: http://luke.campagnola.me/code/pyqtgraph
Description-en: Scientific Graphics and GUI Library for Python (common documentation)
PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
It is intended for use in mathematics / scientific / engineering applications.
Despite being written entirely in Python, the library is very fast due to its
heavy leverage of numpy for number crunching and Qt's GraphicsView framework
for fast display.
.
This is the common documentation package.
Description-md5: 376601f80535cd1b918b17e26401bd45