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

Last updated: December 29,2024

1. Install "python-nibabel" package

Please follow the instructions below to install python-nibabel on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-nibabel
            
                    
    
    Copied

2. Uninstall "python-nibabel" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-nibabel
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-nibabel
Priority: extra
Section: universe/python
Installed-Size: 63342
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: nibabel
Version: 2.0.2-2
Depends: python (>= 2.7), python (<< 2.8), python-numpy, python-scipy
Recommends: python-dicom, python-fuse
Suggests: python-nibabel-doc
Filename: pool/universe/n/nibabel/python-nibabel_2.0.2-2_all.deb
Size: 1961500
MD5sum: 8fd3c73fa9074715ab9f69611c1c44d9
SHA1: 14e034da330bc24bf8857dd629519de3c13c8f5a
SHA256: 2c12fc3afa41f092ea252bd96d30d5bcb884adac19be88c574a681227ef64e5d
Description-en: Python bindings to various neuroimaging data formats
NiBabel provides read and write access to some common medical and
neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI,
NIfTI1, MINC, as well as PAR/REC. The various image format classes give full
or selective access to header (meta) information and access to the image data
is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.
.
This package also provides a commandline tools:
.
- dicomfs - FUSE filesystem on top of a directory with DICOMs
- nib-ls - 'ls' for neuroimaging files
- parrec2nii - for conversion of PAR/REC to NIfTI images
Description-md5: b92d90c39fead7b1935f17c5dccadbb5
Homepage: http://nipy.sourceforge.net/nibabel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu