How to Install and Uninstall silx Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: July 04,2024

1. Install "silx" package

Please follow the instructions below to install silx on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                silx
            
                    
    
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2. Uninstall "silx" package

Please follow the guidance below to uninstall silx on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                silx
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the silx package on Ubuntu 20.10 (Groovy Gorilla)

Package: silx
Architecture: all
Version: 0.13.1+dfsg-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 49
Depends: python3-silx (>= 0.13.1+dfsg-1), python3-numpy, python3:any
Filename: pool/universe/s/silx/silx_0.13.1+dfsg-1_all.deb
Size: 12668
MD5sum: 67b239395aa72454b2b89c8eb59dfe9a
SHA1: cc9e2b6b9f7ed042161171c14c9ac7046c612803
SHA256: 266e7ddc6bbc7362df991f030d99513588961f5a9062c3897dbf54331b85ac61
SHA512: fdf57d18062210424418d2342cababf24cc3e55d4202bfa8037eccc9cfe4298f168c15c15b252eb3c9f5489f060fc8f4c65b5915a28e41396b92f3a20105289e
Homepage: https://github.com/silx-kit/silx
Description-en: Toolbox for X-Ray data analysis - Executables
The silx project aims at providing a collection of Python packages to
support the development of data assessment, reduction and analysis
applications at synchrotron radiation facilities. It aims at
providing reading/writing different file formats, data reduction
routines and a set of Qt widgets to browse and visualize data.
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The current version provides :
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* reading HDF5 file format (with support of SPEC file format)
* histogramming
* fitting
* 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
* image plot widget with a set of associated tools (See changelog file).
* Unified browser for HDF5, SPEC and image file formats supporting inspection
and visualization of n-dimensional datasets.
* Unified viewer (silx view filename) for HDF5, SPEC and image file formats
* OpenGL-based widget to display 3D scalar field with
isosurface and cutting plane.
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This uses the Python 3 version of the package.
Description-md5: c16a0204a4cf8474a0444208066feb1a