How to Install and Uninstall python-cfflib Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: November 07,2024

1. Install "python-cfflib" package

Please follow the step by step instructions below to install python-cfflib on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-cfflib
            
                    
    
    Copied

2. Uninstall "python-cfflib" package

This guide let you learn how to uninstall python-cfflib on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-cfflib
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-cfflib package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: python-cfflib
Architecture: all
Version: 2.0.5-2
Priority: extra
Section: universe/python
Source: cfflib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian QA Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 736
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
Homepage: http://cmtk.org/cfflib
Description: Multi-modal connectome and metadata management and integration
Description-md5: b6352c519cac6bbf970257a5b91c4329