How to Install and Uninstall python-nipype Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: September 20,2024

1. Install "python-nipype" package

This tutorial shows how to install python-nipype on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-nipype
            
                    
    
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2. Uninstall "python-nipype" package

Please follow the guidance below to uninstall python-nipype on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-nipype
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-nipype package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-nipype
Priority: optional
Section: universe/python
Installed-Size: 8454
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: nipype
Version: 0.11.0-1
Provides: python2.7-nipype
Depends: python (>= 2.7), python (<< 2.8), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib
Recommends: ipython, python-nose, graphviz, python-xvfbwrapper, mayavi2
Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants
Filename: pool/universe/n/nipype/python-nipype_0.11.0-1_all.deb
Size: 1413772
MD5sum: e37ff0c6923f261649c8a028b8f6a980
SHA1: 6b11031250df0bc2eb36fc323d1605dc6bace63d
SHA256: 8cae07a927486bbf9cc2f624fb3862d097c0cfd25b9093401d69face03289e46
Description-en: Neuroimaging data analysis pipelines in Python
Nipype interfaces Python to other neuroimaging packages and creates
an API for specifying a full analysis pipeline in Python. Currently,
it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be
extended for other packages (such as lipsia).
Description-md5: a27048e552e9a1a94c57b117b61b6b2a
Homepage: http://nipy.sourceforge.net/nipype/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu