How to Install and Uninstall python3-plfit Package on Linux Mint 21.3 (Virginia)

Last updated: November 26,2024

1. Install "python3-plfit" package

In this section, we are going to explain the necessary steps to install python3-plfit on Linux Mint 21.3 (Virginia)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-plfit
            
                    
    
    Copied

2. Uninstall "python3-plfit" package

This guide let you learn how to uninstall python3-plfit on Linux Mint 21.3 (Virginia):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-plfit
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-plfit package on Linux Mint 21.3 (Virginia)

Package: python3-plfit
Architecture: amd64
Version: 0.9.3+ds-1ubuntu1
Priority: optional
Section: universe/python
Source: plfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 101
Provides: python3.10-plfit
Depends: python3 (<< 3.11), python3 (>= 3.10~), python3:any, libc6 (>= 2.14), libplfit0 (>= 0.8.2), libpython3.10 (>= 3.10.0)
Filename: pool/universe/p/plfit/python3-plfit_0.9.3+ds-1ubuntu1_amd64.deb
Size: 23740
MD5sum: ee5167fc90caf7f213730a821f47d3b8
SHA1: 358ad310bb45e2ab0384d82c8dc52363ffd12e86
SHA256: c5e8f2a16a3da8a3134abe6e4851812175a02d186bdc81848f0c3dd30d5a1a23
SHA512: 57a1e49932261a93a5ec5d0f4a0e89a634d1609777936d5bbf1aa042b187c684bd73c9402f7c7549b57cc2613276f90e63fb633f9166b6477fcd660e05240b72
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e