How to Install and Uninstall python3-nipy Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 22,2024

1. Install "python3-nipy" package

This is a short guide on how to install python3-nipy on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-nipy
            
                    
    
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2. Uninstall "python3-nipy" package

This tutorial shows how to uninstall python3-nipy on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-nipy
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-nipy package on Ubuntu 21.10 (Impish Indri)

Package: python3-nipy
Architecture: all
Version: 0.4.3~rc1-1
Priority: optional
Section: universe/python
Source: nipy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3553
Depends: python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.3~rc1-1)
Recommends: python3-matplotlib, mayavi2
Suggests: python3-mvpa
Breaks: python-nipy
Replaces: python-nipy
Filename: pool/universe/n/nipy/python3-nipy_0.4.3~rc1-1_all.deb
Size: 778148
MD5sum: a471362cc42fec915dc5483738cc4091
SHA1: 954a07d8572aa6924a15948f1e0e167ee369cb02
SHA256: d539a44ea2835d078eab7e8ef145f7e338cb224bda5bd5149c260145294cd867
SHA512: c2b94e86c96042d308066fb7326d010628e68dd8f66a47aee355a5c528c21edf00602c633f5969f93d75337a92de0fbcd74fb4b6dafe2d3bdff300528feb862f
Homepage: https://nipy.org/nipy/
Description-en: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data. It provides functionality for
- General linear model (GLM) statistical analysis
- Combined slice time correction and motion correction
- General image registration routines with flexible cost functions,
optimizers and re-sampling schemes
- Image segmentation
- Basic visualization of results in 2D and 3D
- Basic time series diagnostics
- Clustering and activation pattern analysis across subjects
- Reproducibility analysis for group studies
Description-md5: 1b32129c672ebf51bd9d3ef07a7f5f16