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

Last updated: May 18,2024

1. Install "python-fabio" package

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


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

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


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

Package: python-fabio
Priority: optional
Section: universe/python
Installed-Size: 1167
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Version: 0.3.0+dfsg-1build1
Depends: python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.14), pymca, python-six
Recommends: fabio-viewer, python-imaging, python-lxml, python-matplotlib
Suggests: pyfai, python-fabio-doc
Filename: pool/universe/p/python-fabio/python-fabio_0.3.0+dfsg-1build1_amd64.deb
Size: 228830
MD5sum: 4f94b015fc3c58c0364e5fea33ec8734
SHA1: c6cad08b3b79482d947f673114de349adeeb1e41
SHA256: 3abbb4721f0e4da807b5adb0f2adfb4ef5d55e2ff78fc57eba1f71e51772f392
Description-en: I/O library for images produced by 2D X-ray detector - Python2
FabIO is an I/O library for images produced by 2D X-ray detectors and
written in Python. FabIO support images detectors from a dozen of
companies (including Mar, Dectris, ADSC, Hamamatsu, Oxford, ...), for
a total of 20 different file formats (like CBF, EDF, TIFF, ...) and
offers an unified interface to their headers (as a Python dictionary)
and datasets (as a numpy ndarray of integers or floats)
.
This is the Python 2 version of the package.
Description-md5: eeff30ab64515a81b13d28c668deebc9
Homepage: https://github.com/kif/fabio
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu