Xarray
@xarray_dev
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N-D labeled arrays and datasets in Python
Joined September 2018
Excited to share @UUtah PhD student Emma Marshall's presentation from #CNG2025! Learn how to demystify cloud-native geospatial datacube workflows with @xarray_dev and @zarr_dev. ▶️ https://t.co/shiGM2pIhc
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Check out our new API for seasonal aggreggations, including support for custom seasons! `ds.resample(time=SeasonResampler(["DJF", "MAM", "JJAS", "ON"]).mean()` and `ds.groupby(time=SeasonGrouper(["DJFM", "MAMJ", "JJAS", "SOND"]).mean()` https://t.co/TDl8DE0UcF
xarray.dev
Introducing new SeasonalGrouper and SeasonResampler objects
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Read about our plans to accelerate Xarray adoption in the biological sciences, funded by a @ChanZuckerberg EOSS grant! https://t.co/sTh2a6teyB
xarray.dev
A discussion of how Xarray fits into Biological analysis workflows
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Our friend's over at @zarr_dev made a big release today! Xarray v2025.01.1 was also released today with full support for Zarr-Python 3 🚀
🎉 Zarr-Python 3 is here! 🎉 - Full support for Zarr v3 spec - Chunk-sharding for more efficient data storage - Major performance boosts with async I/O & parallel compression 💻 pip install --upgrade zarr Blog post: https://t.co/0pCdmjFQAX
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Calculating quantiles, a common application in #geospatial workloads, used to be slow due to GIL contention in NumPy. The new implementation in @dask_dev + @xarray_dev is up to a hundred times faster and scales independently of the number of threads 🥳. https://t.co/UnJjPEF3Pd
docs.coiled.io
Dec 17, 2024 2 m read Patrick Hoefler There have been a number of engineering improvements to Dask Array like consistent chunksizes in Xarray rolling-constructs and improved efficiency in map_overl...
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At AGU I talked to NASA people about how agencies could better support open-source tools they rely on. I argued that our recent collaboration between Xarray and NASA ESDIS on xarray.DataTree was a good model to copy - read about how it happened here! https://t.co/uTJ6VFLjHD
xarray.dev
The new xarray.DataTree class allows working with netCDF/Zarr groups, brought to you in collaboration with NASA!
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Read about the latest improvement to https://t.co/sNVU1DIXuJ with Dask: https://t.co/EAkjYHQxZe Thanks to Patrick Hoefler of @CoiledHQ for the great work here!
xarray.dev
Recent dask improvements make GroupBy.map a lot better!
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Come learn about recent @xarray_dev GroupBy improvements at tomorrow's (Wed, Nov 13) Pangeo Showcase! https://t.co/K0Wi0ZQK43
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xarray.DataTree is @xarray_dev's first major new data structure since it's initial release baxk in 2014!
Xarray v2024.10.0 has just been released, including support for xarray.DataTree and zarr-python v3 !!! https://t.co/LB2cvjuJKx
@xarray_dev @zarr_dev
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Xarray v2024.10.0 has just been released, including support for xarray.DataTree and zarr-python v3 !!! https://t.co/LB2cvjuJKx
@xarray_dev @zarr_dev
github.com
This release brings official support for xarray.DataTree, and compatibility with zarr-python v3! Aside from these two huge features, it also improves support for vectorised interpolation and fixes ...
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Beyond stoked to be sharing Icechunk with the world today! A new open source, transactional cloud-native storage engine for ND arrays, built on @zarr_dev. Check it out! 👇👇👇
🚀 We are thrilled to announce the release of the Icechunk storage engine, a new open-source library and specification for the storage of multidimensional array (a.k.a. tensor) data in cloud object storage. Read our blog post about Icechunk here:
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Xarray + Zarr just got a big upgrade! 🧊
🚀 We are thrilled to announce the release of the Icechunk storage engine, a new open-source library and specification for the storage of multidimensional array (a.k.a. tensor) data in cloud object storage. Read our blog post about Icechunk here:
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🎉
At long last Xarray can now group by multiple arrays. The culmination of 3 years of on/off work https://t.co/NGKemrP4V2 Try it!
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#TutorialTuesday The @xarray_dev ecosystem now supports data cubes with vector geometries as coordinate locations. Learn how to leverage vector data cubes for #geospatial analysis. https://t.co/ZCvA90gFr3
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The @xarray_dev data model now supports vector data cubes! 🎉 Check out our blog post discussing + demonstrating this exciting development. Thank you to Xvec and others across the OS community for their work making this possible! 👏 https://t.co/p5Ah8kSkx5
earthmover.io
This is a blog version of a webinar that took place on August 27, 2024. Here’s a video of that webinar: Geospatial datasets representing information about real-world features such as points, lines,...
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Register below 👇 for Vector Data in @xarray_dev and @zarr_dev . We'll demo how to build & use vector data cubes in Arraylake by ingesting GeoParquet vector data and ERA5 reanalysis data from publicly available cloud object storage. https://t.co/5RkkOYDtj1
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Triple @pangeo_data sprint going on today at @SciPyConf ! We've got groups working on @xarray_dev -DataTree, Cubed, and @zarr_dev VirtualiZarr all sat together!
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Eni Awowale and @lucassterzinger from @NASA_GESDISC presenting on how they use @xarray_dev 's new DataTree functionality for organizing HDF files with many groups! Wonderful to collaborate directly with @NASA on #opensource for science!
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It has been fascinating to learn how widely used @xarray_dev is in fintech--and I'm not talking about weather quants. Turns out that most analysis-ready market data is fundamentally multidimensional, rather than tabular. This is what 5 years of @DowJones data look like in
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