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

Last updated: November 07,2024

1. Install "python-cfflib" package

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


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

Here is a brief guide to show you how to uninstall python-cfflib on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-cfflib
Priority: extra
Section: universe/python
Installed-Size: 736
Maintainer: Ubuntu Developers
Original-Maintainer: Debian QA Group
Architecture: all
Source: cfflib
Version: 2.0.5-2
Depends: python-lxml, python-networkx (>= 1.4), python-nibabel (>= 1.1.0), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-h5py, python-nose, python-sphinx, python-tables
Filename: pool/universe/c/cfflib/python-cfflib_2.0.5-2_all.deb
Size: 202686
MD5sum: 60b996704a2ab214b5eb4587a682271c
SHA1: eb663d28efd9fa1dc246a02d6d71162ac8bd39f4
SHA256: 5eb46aee52a68fdb20c027497b110999ca695bce91ecc675578fd163e93fedfa
Description-en: Multi-modal connectome and metadata management and integration
The Connectome File Format Library (cfflib) is a Python module for
multi-modal neuroimaging connectome data and metadata management and
integration.
.
It enables single subject and multi-subject data integration for a
variety of modalities, such as networks, surfaces, volumes, fiber
tracks, timeseries, scripts, arbitrary data objects such as
homogeneous arrays or CSV/JSON files. It relies on existing Python
modules and the standard library for basic data I/O, and adds a layer
of metadata annotation as tags or with structured properties to
individual data objects.
Description-md5: b6352c519cac6bbf970257a5b91c4329
Homepage: http://cmtk.org/cfflib
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu