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Link to original content: https://doi.org/10.5281/zenodo.6658382
nipy/nibabel:

There is a newer version of the record available.

Published June 17, 2022 | Version 4.0.0
Software Open

nipy/nibabel:

Creators

  • 1. School of Psychology, University of Birmingham, Birmingham, UK
  • 2. Stanford University
  • 3. Otto-von-Guericke-University Magdeburg, Germany
  • 4. Microsoft Research, Montréal, Québec, Canada
  • 5. UC San Diego
  • 6. MIT
  • 7. Center for Open Neuroscience, Dartmouth College
  • 8. Dartmouth College: Hanover, NH, United States
  • 9. Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
  • 10. University of Washington: Seattle, WA, United States
  • 11. MIT, HMS
  • 12. Athena EPI, Inria Sophia-Antipolis
  • 13. Institute of Neuroinformatics, ETH/University of Zurich
  • 14. Deptartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH
  • 15. Harvard University - Psychology
  • 16. Department of Computer Science, Aalto University, Espoo, Finland and Department of Neuroscience, Imaging and Clinical Sciences, University G. D'Annunzio, Chieti, Italy
  • 17. The University of Washington eScience Institute
  • 18. Montreal Neurological Institute and Hospital
  • 19. Department of Psychology, University of California Davis, CA, USA
  • 20. Berkeley Institute for Data Science, UC Berkeley
  • 21. CNRS LTCI, Telecom ParisTech, Université Paris-Saclay
  • 22. Center for Magnetic Resonance Research, University of Minnesota
  • 23. CEA
  • 24. Google
  • 25. Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
  • 26. University of Geneva, Switzerland
  • 27. SRI International
  • 28. Department of Psychology, Stanford University, CA, USA
  • 29. University College London
  • 30. BrainSpec, Boston, MA
  • 31. INRIA
  • 32. Université de Sherbrooke
  • 33. Charite Universitatsmedizin Berlin, Germany
  • 34. McGill University
  • 35. University College London, London, UK
  • 36. University of California, San Francisco
  • 37. Department of Neuropsychiatry, University of Pennsylvania
  • 38. Hospital for Sick Children
  • 39. Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA
  • 40. TIB – Leibniz Information Centre for Science and Technology and University Library, Hannover, Germany
  • 41. National Technical University of Athens, Greece
  • 42. Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • 43. National Institute of Mental Health and Neuro-Sciences, India

Description

Most work on NiBabel so far has been by Matthew Brett (MB), Chris Markiewicz (CM), Michael Hanke (MH), Marc-Alexandre Côté (MC), Ben Cipollini (BC), Paul McCarthy (PM), Chris Cheng (CC), Yaroslav Halchenko (YOH), Satra Ghosh (SG), Eric Larson (EL), Demian Wassermann, Stephan Gerhard and Ross Markello (RM).

References like "pr/298" refer to github pull request numbers.

4.0.0 (Saturday 18 June 2022)

New feature release in the 4.0.x series.

New features
  • Add 'mask', 'compat' and 'smallest' dtype aliases to NIfTI images to allow for dtype specifications that can depend on the contents of the data. 'mask' is a synonym for uint8. 'compat' will find the nearest Analyze-compatible (therefore widely supported) dtype that will not truncate the data. 'smallest' attempts to find the smallest integer dtype that will contain the data. (pr/1096) (CM, reviewed by Chris Rorden and Josh Teves)
  • Add dtype arguments to Cifti2Image (pr/1111) (CM)
  • Allow dtypes to be passed to Analyze-like images at __init__() and to_filename() to provide better control over output images. (pr/1082) (CM, following discussions with Chris Rorden, Josh Teves, Jerome Dockes, and MB)
  • Allow compressed GIFTI images (MB, reviewed by CM)
  • Add zstd compression support (pr/1005) (Andrew Van, reviewed by CM)
  • Support ExternalFileBinary GIFTI data arrays (PM, reviewed by CM)
Enhancements
  • Document InTemporaryDirectory as non-thread-safe (pr/1103) (Jacob Roberts, reviewed by MB)
  • Unify Caret-XML-style metadata structure (GiftiMetaData, Cifti2MetaData) as dict-like (pr/1091) (CM, reviewed by Josh Teves and Hao-Ting Wang)
  • Add __repr__ methods to GIFTI objects (pr/1092) (CM, reviewed by Josh Teves and Hao-Ting Wang)
  • Create gzip header deterministically by default (pr/1024) (CM, reviewed by YOH)
  • Provide clear error message when files with zip extensions don't match file contents (pr/1013) (Jérôme Dockès, reviewed by CM)
Bug fixes
  • Re-import externals/netcdf.py from scipy to resolve numpy API change (pr/1110) (CM)
  • Resize ArraySequence.data without helper function to avoid reference increment (pr/1093) (MC, reviewed by CM)
Maintenance
  • Update submodule URLs to use https over git protocol (pr/1097) (CM)
  • Published BIAP 9: CoordinateImage API (pr/1084) (CM)
  • Drop uses of deprecated distutils (pr/1073) (CM, reviewed by MB)
  • Suppress LGTM false alarm "Clear-text logging of sensitive information" (pr/1052) (Dimitri Papadopoulos, reviewed by CM)
  • Test on Python 3.10 (pr/1047) (CM)
  • Fix typos found by codespell (pr/1040, pr/1044) (Dimitri Papadopoulos, reviewed by CM)
  • Run stable tests weekly, pre-release tests nightly (pr/1025) (CM)
  • Documentation updates to establish/clarify governance and decision making (pr/1019, pr/1020, pr/1022, pr/1018, pr/1017, pr/1016) (MB and CM)
API changes and deprecations
  • Writing NIfTIs with 64-bit integer dtypes is getting harder. Passing (u)int64 arrays to Nifti1Image and subclasses will warn unless a header or dtype option is passed; in the future this will become an error. Additionally, passing int or 'int' to set_data_dtype() now raises an error, requiring an explicit numpy dtype to make 64-bit integer images. (pr/1082) (CM, following discussions with Chris Rorden, Josh Teves, Jerome Dockes, and MB)
  • Drop support for Python 3.6, Numpy < 1.17 (pr/1079) (CM)
  • Fully removed the following APIs, which have raised errors on use since 3.0 (pr/980) (CM, reviewed by Jonathan Daniel)
    • nibabel.trackvis
    • nibabel.volumeutils.calculate_scale
    • nibabel.volumeutils.can_cast
    • nibabel.volumeutils.scale_min_max
    • nibabel.dataobj_images.DataobjImage.get_shape
    • nibabel.minc1.MincImage (use Minc1Image)
    • nibabel.minc1.MincFile (use Minc1File)
    • nibabel.filebasedimages.FileBasedImage.from_files
    • nibabel.filebasedimages.FileBasedImage.filespec_to_files
    • nibabel.filebasedimages.FileBasedImage.to_filespec
    • nibabel.filebasedimages.FileBasedImage.to_files
    • nibabel.arrayproxy.ArrayProxy.header
    • keep_file_open=="auto" parameter to load method (now must be boolean)

Files

nipy/nibabel-4.0.0.zip

Files (4.7 MB)

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md5:399c556c3c2c04db3cdf388087092ce7
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Additional details

Related works

Is supplement to
https://github.com/nipy/nibabel/tree/4.0.0 (URL)