excited to be able to talk to @napari_imaging in the near future!
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
earthmover.io/blog/scientifi…
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Xarray retweeted
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.
▶️youtu.be/Fxx5qUxJrm0
▶️youtu.be/Fxx5qUxJrm0
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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()`
xarray.dev/blog/season-gr…
`ds.resample(time=SeasonResampler(["DJF", "MAM", "JJAS", "ON"]).mean()`
and
`ds.groupby(time=SeasonGrouper(["DJFM", "MAMJ", "JJAS", "SOND"]).mean()`
xarray.dev/blog/season-gr…
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Read about our plans to accelerate Xarray adoption in the biological sciences, funded by a @ChanZuckerberg EOSS grant!
xarray.dev/blog/xarray-bi…
xarray.dev/blog/xarray-bi…
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@PemudaMaluku___ @matplotlib Have you tried out Facetgrid yet? docs.xarray.dev/en/stable/user…
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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 🚀
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: zarr.dev/blog/zarr-pyth…
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Xarray retweeted
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 🥳.
docs.coiled.io/blog/array-qua…
#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 🥳.
docs.coiled.io/blog/array-qua…
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Xarray retweeted
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!
xarray.dev/blog/datatree
xarray.dev/blog/datatree
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Read about the latest improvement to GroupBy.map with Dask: xarray.dev/blog/dask-detr…
Thanks to Patrick Hoefler of @CoiledHQ for the great work here!
Thanks to Patrick Hoefler of @CoiledHQ for the great work here!
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Xarray retweeted
Come learn about recent @xarray_dev GroupBy improvements at tomorrow's (Wed, Nov 13) Pangeo Showcase!
discourse.pangeo.io/t/pangeo-showc…
discourse.pangeo.io/t/pangeo-showc…
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Xarray retweeted
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 !!!
github.com/pydata/xarray/…
@xarray_dev @zarr_dev
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Xarray retweeted
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: earthmover.io/blog/icechunk
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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: earthmover.io/blog/icechunk
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🎉
At long last Xarray can now group by multiple arrays. The culmination of 3 years of on/off work
xarray.dev/blog/multiple-…
Try it!
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Xarray retweeted
#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.
earthmover.io/blog/vector-da…
The @xarray_dev ecosystem now supports data cubes with vector geometries as coordinate locations. Learn how to leverage vector data cubes for #geospatial analysis.
earthmover.io/blog/vector-da…
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Xarray retweeted
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! 👏earthmover.io/blog/vector-da…
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Xarray retweeted
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. bit.ly/3WDkgtu
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Xarray retweeted
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!
We've got groups working on @xarray_dev -DataTree, Cubed, and @zarr_dev VirtualiZarr all sat together!
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Xarray retweeted
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!
Wonderful to collaborate directly with @NASA on #opensource for science!
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Xarray retweeted
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 Xarray.
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 Xarray.
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