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

Last updated: November 07,2024

1. Install "python3-nibabel" package

Please follow the guidelines below to install python3-nibabel on Ubuntu 21.10 (Impish Indri)


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

This is a short guide on how to uninstall python3-nibabel on Ubuntu 21.10 (Impish Indri):


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

Package: python3-nibabel
Architecture: all
Version: 3.2.1-2
Priority: extra
Section: universe/python
Source: nibabel
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 65965
Depends: python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six
Recommends: python3-pydicom, python3-fuse
Suggests: python-nibabel-doc, python3-mock
Breaks: python-nibabel
Replaces: python-nibabel
Filename: pool/universe/n/nibabel/python3-nibabel_3.2.1-2_all.deb
Size: 2686488
MD5sum: 3ca7cff9a84dd6557f821a5ad967fa29
SHA1: ebb050fad1118da2f705ef06fa3107fc100c6fc6
SHA256: 36063bf030c78a445a4d1be343c88504441b3d388412a1ef4d88d8c306fdbdd7
SHA512: 04a9e6c73c6bfddbbcd322295ddd94137491259ef6623932a1fac1493d3b756d5e7f2a4272d8caae80fe801673dfb0a028cf27023c5abd7e9abb1c600cc7ee26
Homepage: https://nipy.org/nibabel/
Description-en: Python3 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.
Description-md5: eba85b71688d495c2c568f6575f9b5e2