/usr/lib/python2.7/dist-packages/nibabel-2.1.0.egg-info is in python-nibabel 2.1.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | Metadata-Version: 1.1
Name: nibabel
Version: 2.1.0
Summary: Access a multitude of neuroimaging data formats
Home-page: http://nipy.org/nibabel
Author: Matthew Brett, Michael Hanke, Eric Larson, Chris Markiewicz
Author-email: neuroimaging@python.org
License: MIT license
Download-URL: https://github.com/nipy/nibabel
Description:
=======
NiBabel
=======
Read / write access to some common neuroimaging file formats
This package provides read +/- write access to some common medical and
neuroimaging file formats, including: ANALYZE_ (plain, SPM99, SPM2 and later),
GIFTI_, NIfTI1_, NIfTI2_, MINC1_, MINC2_, MGH_ and ECAT_ as well as Philips
PAR/REC. We can read and write FreeSurfer_ geometry, annotation and
morphometry files. There is some very limited support for DICOM_. NiBabel is
the successor of PyNIfTI_.
.. _ANALYZE: http://www.grahamwideman.com/gw/brain/analyze/formatdoc.htm
.. _NIfTI1: http://nifti.nimh.nih.gov/nifti-1/
.. _NIfTI2: http://nifti.nimh.nih.gov/nifti-2/
.. _MINC1:
https://en.wikibooks.org/wiki/MINC/Reference/MINC1_File_Format_Reference
.. _MINC2:
https://en.wikibooks.org/wiki/MINC/Reference/MINC2.0_File_Format_Reference
.. _PyNIfTI: http://niftilib.sourceforge.net/pynifti/
.. _GIFTI: https://www.nitrc.org/projects/gifti
.. _MGH: https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MghFormat
.. _ECAT: http://xmedcon.sourceforge.net/Docs/Ecat
.. _Freesurfer: https://surfer.nmr.mgh.harvard.edu
.. _DICOM: http://medical.nema.org/
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.
Website
=======
Current documentation on nibabel can always be found at the `NIPY nibabel
website <http://nipy.org/nibabel>`_.
Mailing Lists
=============
Please send any questions or suggestions to the `neuroimaging mailing list
<https://mail.python.org/mailman/listinfo/neuroimaging>`_.
Code
====
Install nibabel with::
pip install nibabel
You may also be interested in:
* the `nibabel code repository`_ on Github;
* documentation_ for all releases and current development tree;
* download the `current release`_ from pypi;
* download `current development version`_ as a zip file;
* downloads of all `available releases`_.
.. _nibabel code repository: https://github.com/nipy/nibabel
.. _Documentation: http://nipy.org/nibabel
.. _current release: https://pypi.python.org/pypi/nibabel
.. _current development version: https://github.com/nipy/nibabel/archive/master.zip
.. _available releases: https://github.com/nipy/nibabel/releases
License
=======
Nibabel is licensed under the terms of the MIT license. Some code included
with nibabel is licensed under the BSD license. Please see the COPYING file
in the nibabel distribution.
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy (>=1.5.1)
Provides: nibabel
Provides: nisext
|