Published November 20, 2017
| Version v0.10.0
Software
Open
pydata/xarray: v0.10.0
Authors/Creators
- Stephan Hoyer1
- Joe Hamman2
- Clark Fitzgerald
- Alex Kleeman
- Fabien Maussion3
- Thomas Kluyver
- James Munroe4
- Maximilian Roos5
- Keisuke Fujii
- Phillip Wolfram
- Markel6
- Jonathan J. Helmus7
- Benoit Bovy8
- Zac Hatfield Dodds9
- crusaderky
- Pete Cable10
- Ryan Abernathey11
- Ray Bell12
- Vincent Noel13
- Takeshi Kanmae
- Alistair Miles14
- Spencer Hill15
- chunweiyuan
- Scott Sinclair
- Julia Signell
- Huziy Oleksandr (Sasha)16
- Filipe
- Frédéric Laliberté
- Daniel Rothenberg17
- Brewster Malevich18
- 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!).
resamplehas a new groupby-like API like pandas.xarray.apply_ufuncfacilitates 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
Files
pydata/xarray-v0.10.0.zip
Additional details
Related works
- Is supplement to
- https://github.com/pydata/xarray/tree/v0.10.0 (URL)