Throwback to last month in Bologna! 🌊
EGI, CMCC, UniBo, and EDITO hosted the Cloud Native Ocean Data Analysis School, empowering 40 scientists with #Pangeo, #Xarray, and cloud tools for marine data.
Learn more: go.egi.eu/8aOd5
EGI, CMCC, UniBo, and EDITO hosted the Cloud Native Ocean Data Analysis School, empowering 40 scientists with #Pangeo, #Xarray, and cloud tools for marine data.
Learn more: go.egi.eu/8aOd5
November 11, 2025 at 9:03 AM
Throwback to last month in Bologna! 🌊
EGI, CMCC, UniBo, and EDITO hosted the Cloud Native Ocean Data Analysis School, empowering 40 scientists with #Pangeo, #Xarray, and cloud tools for marine data.
Learn more: go.egi.eu/8aOd5
EGI, CMCC, UniBo, and EDITO hosted the Cloud Native Ocean Data Analysis School, empowering 40 scientists with #Pangeo, #Xarray, and cloud tools for marine data.
Learn more: go.egi.eu/8aOd5
Yeah, I suggest building on top of universal-pathlib and fsspec. xarray supports the UPath protocol and I think geopandas does as well.
November 8, 2025 at 3:53 PM
Yeah, I suggest building on top of universal-pathlib and fsspec. xarray supports the UPath protocol and I think geopandas does as well.
Ah, there you might be able to utilize cf-xarray. I forget how much metadata cfgrib puts onto the Dataset object.
November 8, 2025 at 3:49 PM
Ah, there you might be able to utilize cf-xarray. I forget how much metadata cfgrib puts onto the Dataset object.
I do use cfgrib via xarray to extract the datasets but then I post-process the variable keys remapping them from GRIB to plain language (i.e. 'r2' ---> '2m_relative_humidity' to make them easier for users to understand what they are looking at.
November 8, 2025 at 3:43 PM
I do use cfgrib via xarray to extract the datasets but then I post-process the variable keys remapping them from GRIB to plain language (i.e. 'r2' ---> '2m_relative_humidity' to make them easier for users to understand what they are looking at.
why in #xarray a simple operation such as querying what are the different group's name is stored in a netcdf involves using backend calls? the same operation so much easier if using the #netCDF4 module.
I wasted 2 hours figuring out that group name identification is easier using netCDF4. #python
I wasted 2 hours figuring out that group name identification is easier using netCDF4. #python
November 3, 2025 at 5:38 PM
🚨 New version of xarray-grass 🚨
I'm glad to announce that I've release version 0.4.0 of xarray-grass! It comes with many improvements...
@xarray.bsky.social @grassgis.fosstodon.org.ap.brid.gy
I'm glad to announce that I've release version 0.4.0 of xarray-grass! It comes with many improvements...
@xarray.bsky.social @grassgis.fosstodon.org.ap.brid.gy
xarray-grass
An Xarray backend for GRASS raster data.
pypi.org
November 3, 2025 at 3:31 PM
🚨 New version of xarray-grass 🚨
I'm glad to announce that I've release version 0.4.0 of xarray-grass! It comes with many improvements...
@xarray.bsky.social @grassgis.fosstodon.org.ap.brid.gy
I'm glad to announce that I've release version 0.4.0 of xarray-grass! It comes with many improvements...
@xarray.bsky.social @grassgis.fosstodon.org.ap.brid.gy
e.g. JRA-3Q downloads failed because there's a new URL. The new server is in Europe, so the result (aside from my broken script) is faster download speeds. Something also changed in the grib files or the way they get decoded by xarray. It took maybe a half hour to fix but the disruption drags.
October 31, 2025 at 12:15 PM
e.g. JRA-3Q downloads failed because there's a new URL. The new server is in Europe, so the result (aside from my broken script) is faster download speeds. Something also changed in the grib files or the way they get decoded by xarray. It took maybe a half hour to fix but the disruption drags.
Pynapple v0.10 is out with major changes. Unified tuning curve function now returns an xarray object, plus new flexible template-matching decoding. Join us at the Flatiron workshop this February to learn Pynapple and other tools for neural data analysis from @flatironinstitute.org.
October 30, 2025 at 4:04 PM
Pynapple v0.10 is out with major changes. Unified tuning curve function now returns an xarray object, plus new flexible template-matching decoding. Join us at the Flatiron workshop this February to learn Pynapple and other tools for neural data analysis from @flatironinstitute.org.
Today, napari users can’t fully leverage Xarray’s labeled metadata, as slider names, units & dimensions often get out of sync. That’s changing. At SciPy 2025, napari, Xarray & CellProfiler devs began a collab to build true metadata-aware visualization across sciences.
earthmover.io/blog/scienti...
earthmover.io/blog/scienti...
Scientific Data Visualization with Xarray and Napari - Earthmover
Ian Hunt-Isaak Xarray Community Developer Tim Monko Neuroscience PhD & napari community manager This blog was also published on the xarray blog and the napari blog. TL;DR Making Napari and Xarray work...
earthmover.io
October 29, 2025 at 5:53 PM
Today, napari users can’t fully leverage Xarray’s labeled metadata, as slider names, units & dimensions often get out of sync. That’s changing. At SciPy 2025, napari, Xarray & CellProfiler devs began a collab to build true metadata-aware visualization across sciences.
earthmover.io/blog/scienti...
earthmover.io/blog/scienti...
✨ Planned features include:
- A user-friendly Python interface to automate processing of Bonsai outputs for seamless integration with analysis tools (e.g. movement, pose-tracking, etc.)
- Alignment tools for synchronising pose-tracking, Bonsai, and Neuropixels data using common xarray structures
- A user-friendly Python interface to automate processing of Bonsai outputs for seamless integration with analysis tools (e.g. movement, pose-tracking, etc.)
- Alignment tools for synchronising pose-tracking, Bonsai, and Neuropixels data using common xarray structures
October 29, 2025 at 5:06 PM
✨ Planned features include:
- A user-friendly Python interface to automate processing of Bonsai outputs for seamless integration with analysis tools (e.g. movement, pose-tracking, etc.)
- Alignment tools for synchronising pose-tracking, Bonsai, and Neuropixels data using common xarray structures
- A user-friendly Python interface to automate processing of Bonsai outputs for seamless integration with analysis tools (e.g. movement, pose-tracking, etc.)
- Alignment tools for synchronising pose-tracking, Bonsai, and Neuropixels data using common xarray structures
Yeah in line 166 you manually set the axis labels from the xarray labels. We hope to instead grab this information automatically! (And also the scale/translate etc!)
October 28, 2025 at 10:50 PM
Yeah in line 166 you manually set the axis labels from the xarray labels. We hope to instead grab this information automatically! (And also the scale/translate etc!)
📣Deep dive alert: #Intel's Xe driver patches for DMA-BUF via IOV interconnects. This is foundational work for performant SR-IOV virtualization on Arc Pro GPUs. It replaces slower DMA maps with direct XArray sharing over virtual links. Read more: 👉 tinyurl.com/ya53cpkt
Intel Xe Driver Advances: DMA-BUF Mapping via IOV Interconnects Boosts SR-IOV Virtualization Performance
Blog com notícias sobre, Linux, Android, Segurança , etc
tinyurl.com
October 28, 2025 at 11:29 AM
📣Deep dive alert: #Intel's Xe driver patches for DMA-BUF via IOV interconnects. This is foundational work for performant SR-IOV virtualization on Arc Pro GPUs. It replaces slower DMA maps with direct XArray sharing over virtual links. Read more: 👉 tinyurl.com/ya53cpkt
Do you use napari and love @xarray.bsky.social? Or use Xarray but cry when napari ignores the axis names? Read how we will improve this in the future! 🤝
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
Xarray ❤️ napari — napari blog documentation
napari.org
October 24, 2025 at 3:34 PM
Do you use napari and love @xarray.bsky.social? Or use Xarray but cry when napari ignores the axis names? Read how we will improve this in the future! 🤝
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
finally got some legs on this #GDAL #xarray backend:
github.com/mdsumner/gdx
in combination with the upcoming 'gdal mdim mosaic' this should be pretty fun
github.com/mdsumner/gdx
in combination with the upcoming 'gdal mdim mosaic' this should be pretty fun
October 20, 2025 at 12:31 PM
finally got some legs on this #GDAL #xarray backend:
github.com/mdsumner/gdx
in combination with the upcoming 'gdal mdim mosaic' this should be pretty fun
github.com/mdsumner/gdx
in combination with the upcoming 'gdal mdim mosaic' this should be pretty fun
As well as additional MGA functionality, a new Xarray based backend with easier writing of custom constraints, an optional new API for components, and more!
👉 Full release notes: docs.pypsa.org/latest/relea...
👉 Full release notes: docs.pypsa.org/latest/relea...
Release Notes - Documentation
None
docs.pypsa.org
October 14, 2025 at 4:05 PM
As well as additional MGA functionality, a new Xarray based backend with easier writing of custom constraints, an optional new API for components, and more!
👉 Full release notes: docs.pypsa.org/latest/relea...
👉 Full release notes: docs.pypsa.org/latest/relea...
This is not parquet, but pretty essential to see where xarray and Zarr are going (raster yes, but not just raster)
youtu.be/I-NHCuLhRjY?...
youtu.be/I-NHCuLhRjY?...
October 9, 2025 at 1:38 PM
This is not parquet, but pretty essential to see where xarray and Zarr are going (raster yes, but not just raster)
youtu.be/I-NHCuLhRjY?...
youtu.be/I-NHCuLhRjY?...
And this one:
earthmover.io/blog/what-is...
(The Earthmover stance that "labelled arrays are inefficient as fully materialized tables" is a bit disingenuous ... obvious actually, I wonder if they will review better now xarray has coordinate indexes)
earthmover.io/blog/what-is...
(The Earthmover stance that "labelled arrays are inefficient as fully materialized tables" is a bit disingenuous ... obvious actually, I wonder if they will review better now xarray has coordinate indexes)
Fundamentals: What Is Zarr? A Cloud-Native Format for Tensor Data - Earthmover
What Zarr is, and how it enables fast, scalable access to multidimensional array data in the cloud.
earthmover.io
October 9, 2025 at 1:19 PM
And this one:
earthmover.io/blog/what-is...
(The Earthmover stance that "labelled arrays are inefficient as fully materialized tables" is a bit disingenuous ... obvious actually, I wonder if they will review better now xarray has coordinate indexes)
earthmover.io/blog/what-is...
(The Earthmover stance that "labelled arrays are inefficient as fully materialized tables" is a bit disingenuous ... obvious actually, I wonder if they will review better now xarray has coordinate indexes)
Given that I love to teach, here is a lesson on re-gridding GRIB data with both the fundamentals and how to implement these fundamentals in Python using numpy and xarray. This isn't always needed, but when a 2D array shows up as a 1D array it is necessary in order to plot the data. #MetEd #Python
October 9, 2025 at 4:29 AM
Origin
archlinux.org
October 6, 2025 at 7:16 PM
Origin
archlinux.org
October 6, 2025 at 7:16 PM
[PATCH 0/3] rust: xarray: abstract `xa_alloc` and `xa_alloc_cyclic` Onur Ãzkan writes:
Interest | Match | Feed
Interest | Match | Feed
Origin
lkml.org
October 6, 2025 at 4:35 PM
Clearly xarray.DataArray. Optionally with pint-xarray, as others suggest: xarray.dev/blog/introdu...
Unit-aware arithmetic in Xarray, via pint
Xarray now supports unit-aware operations by wrapping pint arrays
xarray.dev
October 1, 2025 at 7:58 PM
Clearly xarray.DataArray. Optionally with pint-xarray, as others suggest: xarray.dev/blog/introdu...
DevSeed intern Beatriz Peres used ESA’s new Sentinel-1 Zarr to analyze the 2024 Valencia floods with lightweight, time-series workflows.
Her blog shows how Zarr + xarray make flood monitoring faster & more flexible: developmentseed.org/blog/2025-09...
#BiDS25 @thrivegeo.bsky.social
Her blog shows how Zarr + xarray make flood monitoring faster & more flexible: developmentseed.org/blog/2025-09...
#BiDS25 @thrivegeo.bsky.social
October 1, 2025 at 7:11 PM
DevSeed intern Beatriz Peres used ESA’s new Sentinel-1 Zarr to analyze the 2024 Valencia floods with lightweight, time-series workflows.
Her blog shows how Zarr + xarray make flood monitoring faster & more flexible: developmentseed.org/blog/2025-09...
#BiDS25 @thrivegeo.bsky.social
Her blog shows how Zarr + xarray make flood monitoring faster & more flexible: developmentseed.org/blog/2025-09...
#BiDS25 @thrivegeo.bsky.social
Tuesday's #BiDS25 tutorial by the ESA EOPF Sentinel Zarr Samples Service introduced a full room of users to cloud-native EO workflows with STAC, pySTAC-client, xarray, Dask, and Julia. The discussion during and after the event was captivating!
eopf-sample-service.github.io/EOPF-Zarr-BI...
eopf-sample-service.github.io/EOPF-Zarr-BI...
October 1, 2025 at 4:19 PM
Tuesday's #BiDS25 tutorial by the ESA EOPF Sentinel Zarr Samples Service introduced a full room of users to cloud-native EO workflows with STAC, pySTAC-client, xarray, Dask, and Julia. The discussion during and after the event was captivating!
eopf-sample-service.github.io/EOPF-Zarr-BI...
eopf-sample-service.github.io/EOPF-Zarr-BI...