How to Install and Uninstall python3-seaborn Package on Kali Linux

Last updated: November 07,2024

1. Install "python3-seaborn" package

Please follow the guidance below to install python3-seaborn on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-seaborn
            
                    
    
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2. Uninstall "python3-seaborn" package

Please follow the steps below to uninstall python3-seaborn on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-seaborn
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-seaborn package on Kali Linux

Package: python3-seaborn
Source: seaborn
Version: 0.13.2-2
Installed-Size: 1065
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-matplotlib, python3-numpy, python3-pandas, python3:any, python3-scipy
Recommends: python3-patsy, python3-bs4, python3-tk
Size: 214520
SHA256: ce80831d1aa56ec203ee48e841d776930d84f98a80ab3aeb816c36705eb8c09e
SHA1: 14f01ce781326f82da6c60ce599f151c5271f713
MD5sum: c9b435efc3aa76650a0c09153547fd7f
Description: statistical visualization library for Python3
Seaborn is a library for making attractive and informative
statistical graphics in Python. It is built on top of matplotlib and
tightly integrated with the PyData stack, including support for numpy
and pandas data structures and statistical routines from scipy and
statsmodels.
.
Some of the features that seaborn offers are
.
- Several built-in themes that improve on the default matplotlib
aesthetics
- Tools for choosing color palettes to make beautiful plots that
reveal patterns in your data
- Functions for visualizing univariate and bivariate distributions
or for comparing them between subsets of data
- Tools that fit and visualize linear regression models for different
kinds of independent and dependent variables
- A function to plot statistical timeseries data with flexible estimation
and representation of uncertainty around the estimate
- High-level abstractions for structuring grids of plots that let you
easily build complex visualizations
.
This is the Python 3 version of the package.
Description-md5:
Homepage: https://github.com/mwaskom/seaborn
Section: python
Priority: optional
Filename: pool/main/s/seaborn/python3-seaborn_0.13.2-2_all.deb