Xarray

N-D labeled arrays and datasets in Python

[Xarray @xarray_dev]

Did you know Xarray is part of SWE-bench? We are proud of our little contribution to AI research ☺️

[Ricardo Olmedo @rdolmedo_]

We fine-tuned Alec Radford’s 1930 vintage LLM to solve SWE-bench issues.

After just ‼️250‼️ training examples, the model solves its first issue, a simple patch to the xarray library.

🧵👇

[Xarray @xarray_dev]

excited to be able to talk to @napari_imaging in the near future!

[Earthmover @EarthmoverHQ]

Today, napari users can’t fully leverage Xarray’s labeled metadata, as slider names, units & dimensions often get out of sync. That’s changing, as napari, Xarray & CellProfiler devs begin a collab to build true metadata-aware visualization across sciences
https://t.co/BmQEnU1vcz

[CNG @cloudnativegeo]

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

[Xarray @xarray_dev]

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 @xarray_dev]

Read about our plans to accelerate Xarray adoption in the biological sciences, funded by a @ChanZuckerberg EOSS grant!

https://t.co/sTh2a6teyB

[Xarray @xarray_dev]

@PemudaMaluku___ @matplotlib Have you tried out Facetgrid yet? https://t.co/wVihHcRQ0P

[Xarray @xarray_dev]

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_dev @zarr_dev]

🎉 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

[Coiled @CoiledHQ]

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

[Tom Nicholas @TEGNicholasCode]

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 @xarray_dev]

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!

[Deepak Cherian @cherian_deepak]

Come learn about recent @xarray_dev GroupBy improvements at tomorrow's (Wed, Nov 13) Pangeo Showcase!

https://t.co/K0Wi0ZQK43

[Stephan Hoyer @shoyer]

xarray.DataTree is @xarray_dev's first major new data structure since it's initial release baxk in 2014!

[Tom Nicholas @TEGNicholasCode]

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

[Joe Hamman @_jhamman]

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! 👇👇👇

[Xarray @xarray_dev]

Xarray + Zarr just got a big upgrade! 🧊

[Earthmover @EarthmoverHQ]

🚀 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: https://t.co/S8MTgJT5lz

[Xarray @xarray_dev]

🎉

[Deepak Cherian @cherian_deepak]

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!

[CNG @cloudnativegeo]

#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

[Earthmover @EarthmoverHQ]

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 @EarthmoverHQ]

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

[Tom Nicholas @TEGNicholasCode]

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!