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Published November 20, 2017 | Version v0.10.0
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pydata/xarray: v0.10.0

  • 1. @google
  • 2. @NCAR
  • 3. University of Innsbruck
  • 4. Memorial University of Newfoundland
  • 5. Sixty Capital
  • 6. Climate Dynamics and Impacts Unit, Catalan Institute for Climate Sciences
  • 7. Continuum Analytics
  • 8. GFZ Potsdam
  • 9. Australian National University
  • 10. Raytheon
  • 11. Columbia University
  • 12. University of Miami
  • 13. CNRS
  • 14. University of Oxford
  • 15. UCLA Atmospheric & Oceanic Sciences and Caltech Geological and Planetary Sciences
  • 16. UQAM
  • 17. MIT
  • 18. University of Arizona

Description

This is a major release that includes bug fixes, new features and a few backwards incompatible changes. Highlights include:

  • Indexing now supports broadcasting over dimensions, similar to NumPy's vectorized indexing (but better!).
  • resample has a new groupby-like API like pandas.
  • xarray.apply_ufunc facilitates wrapping and parallelizing functions written for NumPy arrays.
  • Performance improvements, particularly for dask and open_mfdataset.

For more details, see the release notes: http://xarray.pydata.org/en/latest/whats-new.html

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pydata/xarray-v0.10.0.zip

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