nibabel 2.1.0-1 source package in Ubuntu

Changelog

nibabel (2.1.0-1) unstable; urgency=medium

  * Fresh upstream release
  * debian/control
    - python-numpydoc into build-depends
    - boosted policy to 3.9.8
    - python{,3}-mock to Build-Depends/Recommends for tests
  * debian/rules
    - use installed scripts (with corrected shebang) while generating manpages
    - export MPLCONFIGDIR to point to writable local directory

 -- Yaroslav Halchenko <email address hidden>  Fri, 26 Aug 2016 22:41:53 -0400

Upload details

Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Zesty: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_2.1.0-1.dsc 2.5 KiB 37ea30d67e8cccb9c0fa57f10caf8f0e85956c77e90ec5bf330c2df9a7474cd7
nibabel_2.1.0.orig.tar.gz 3.4 MiB cb745509484ff5270a5a0bcf1f0693f32e4db0cd0171cedf82728376b12f4ac9
nibabel_2.1.0-1.debian.tar.xz 7.5 KiB d072e8c8565e7d1af5045d98fbafcfb2d56cc42273d481d1580356dd13ec3428

Available diffs

No changes file available.

Binary packages built by this source

python-nibabel: 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

python-nibabel-doc: No summary available for python-nibabel-doc in ubuntu zesty.

No description available for python-nibabel-doc in ubuntu zesty.

python3-nibabel: 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.