@jeremy beautiful, thanks. ๐ŸŽ‰

#zarr
#xarray

@jeremy useful to add #zarr #xarray emojis? ๐Ÿ™ ๐Ÿ˜€

๐Ÿšจ New version of xarray-grass ๐Ÿšจ

I'm glad to announce that I've release version 0.4.0 of xarray-grass! It comes with many improvements: ๐Ÿš€ Lazy loading of GRASS space-time datasets, ๐Ÿ“… Better management of time dimensions, including support of units when writing relative-time series to GRASS
๐Ÿ—˜ Automatic transposition of arrays when writing to GRASS.

Try it today !

https://pypi.org/project/xarray-grass/

@grassgis #xarray

if you wonder about coordinates in arrays and netcdf and Zarr and #xarray check out this awesome video and gallery, to see where xarray is going

https://www.youtube.com/watch?v=I-NHCuLhRjY

https://xarray-indexes.readthedocs.io/

excellent presentation by Deepak Cherian of #earthmover

Deepak Cherian et al. - The brave new world of slicing and dicing Xarray objects | SciPy 2025

YouTube

made some huge af virtual #Zarr today, each var is 12Tb uncompressed, all referenced to public available netcdf servers but not using netcdf lib at all for read

(Reliant on pretty recent #GDAL or #xarray if you want to explore)

https://github.com/mdsumner/virtualized

been plodding towards this a long time, and finally closed the circle

More to come ๐Ÿ‘Œ

GitHub - mdsumner/virtualized: just some zarr stuff

just some zarr stuff. Contribute to mdsumner/virtualized development by creating an account on GitHub.

GitHub

Anyone would know a workaround about the lack of native support for complex valued arrays in #xarray netcdf writer?

#datascience #python

I am excited to announce xarray-grass, a new free software Python library designed to bridge two open source data science heavy weights: @grassgis and #xarray (https://xarray.dev/).

Although xarray-grass is in its nascent phase, I encourage you to check out the repository on GitHub (https://github.com/lrntct/xarray-grass) and experiment with it. Your insights and contributions will play a significant role in the project's future.

#geo #RemoteSensing #earthobservation people! Has anyone got an example of using the #Copernicus #DataSpace -> https://documentation.dataspace.copernicus.eu/ to go from searching using #pystac to getting a working #xarray dataset for #Sentinel2 reflectances? #python #geopython
home โ€“ Documentation

I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like

- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...

๐—š๐—ฒ๐—ผ๐˜€๐—ฝ๐—ฎ๐˜๐—ถ๐—ฎ๐—น ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น๐˜€
SpatialThoughts provides tutorials which cover a broad range of geospatial topics and technologies, e.g., #GeoPandas, #XArray, #dask, and more. Each technology is described in a notebook with step-by-step explanation. Check it out.
https://www.geopythontutorials.com