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

Last updated: May 16,2024

1. Install "python3-nitime" package

This guide let you learn how to install python3-nitime on Ubuntu 21.10 (Impish Indri)


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

Please follow the step by step instructions below to uninstall python3-nitime on Ubuntu 21.10 (Impish Indri):


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

Package: python3-nitime
Architecture: all
Version: 0.9-1
Priority: optional
Section: universe/python
Source: nitime
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9358
Depends: cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any
Recommends: python3-nose
Filename: pool/universe/n/nitime/python3-nitime_0.9-1_all.deb
Size: 2538764
MD5sum: 12b660abab365b6915fc410f0394c836
SHA1: dc8da169ad92694499ca96f7e04768a2aa57b7ad
SHA256: 139f35e4943995dcb3f2c6223e7ff3d45151938fb309865606ab297549dbf37f
SHA512: 2b1c0ee841a5569ff76885132959dfb157530c7d56a72fc44655bec2f1e56072288caa2eb18940fb8490fecbe763481af57ecce1ba876f463e2704f2006b82bd
Homepage: https://nipy.org/nitime
Description-en: timeseries analysis for neuroscience data (nitime)
Nitime is a Python module for time-series analysis of data from
neuroscience experiments. It contains a core of numerical algorithms
for time-series analysis both in the time and spectral domains, a set
of container objects to represent time-series, and auxiliary objects
that expose a high level interface to the numerical machinery and
make common analysis tasks easy to express with compact and
semantically clear code.
Description-md5: a66a7e6036860163ef6f11111de354b5