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

Last updated: November 16,2024

1. Install "python-dipy" package

This guide let you learn how to install python-dipy on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-dipy
            
                    
    
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2. Uninstall "python-dipy" package

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


    
        
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                sudo apt remove
            
                        
                python-dipy
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-dipy package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-dipy
Priority: extra
Section: universe/python
Installed-Size: 5796
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: dipy
Version: 0.10.1-1
Provides: python2.7-dipy
Depends: python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.10.1-1)
Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables
Suggests: ipython
Filename: pool/universe/d/dipy/python-dipy_0.10.1-1_all.deb
Size: 2451302
MD5sum: 98fadb4df01eaa0a217cdaf56b1b4e98
SHA1: a98bdc636c4a2c684dbaa6e49c2cd980db2a20fd
SHA256: 3f3440d58c3280a5790c558607407d4eb5820ca545c2e7f7b332a5754af0e9fb
Description-en: toolbox for analysis of MR diffusion imaging data
Dipy is a toolbox for the analysis of diffusion magnetic resonance
imaging data. It features:
- Reconstruction algorithms, e.g. GQI, DTI
- Tractography generation algorithms, e.g. EuDX
- Intelligent downsampling of tracks
- Ultra fast tractography clustering
- Resampling datasets with anisotropic voxels to isotropic
- Visualizing multiple brains simultaneously
- Finding track correspondence between different brains
- Warping tractographies into another space, e.g. MNI space
- Reading many different file formats, e.g. Trackvis or NIfTI
- Dealing with huge tractographies without memory restrictions
- Playing with datasets interactively without storing
Description-md5: bd36d11ad5492d068a1b271272ed726b
Homepage: http://nipy.org/dipy
Python-Version: 2.7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu