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Laurent CourtyI am excited to announce xarray-grass, a new free software Python library designed to bridge two open source data science heavy weights: <a href="https://fosstodon.org/@grassgis" class="u-url mention" rel="nofollow noopener" target="_blank">@grassgis</a> and <a href="https://mastodon.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> (<a href="https://xarray.dev/" rel="nofollow noopener" translate="no" target="_blank">https://xarray.dev/</a>).Although xarray-grass is in its nascent phase, I encourage you to check out the repository on GitHub (<a href="https://github.com/lrntct/xarray-grass" rel="nofollow noopener" translate="no" target="_blank">https://github.com/lrntct/xarray-grass</a>) and experiment with it. Your insights and contributions will play a significant role in the project's future.

Jose<a href="https://fediscience.org/tags/geo" class="mention hashtag" rel="nofollow noopener" target="_blank">#geo</a> <a href="https://fediscience.org/tags/RemoteSensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#RemoteSensing</a> <a href="https://fediscience.org/tags/earthobservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#earthobservation</a> people! Has anyone got an example of using the <a href="https://fediscience.org/tags/Copernicus" class="mention hashtag" rel="nofollow noopener" target="_blank">#Copernicus</a> <a href="https://fediscience.org/tags/DataSpace" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataSpace</a> -> <a href="https://documentation.dataspace.copernicus.eu/" rel="nofollow noopener" translate="no" target="_blank">https://documentation.dataspace.copernicus.eu/</a> to go from searching using <a href="https://fediscience.org/tags/pystac" class="mention hashtag" rel="nofollow noopener" target="_blank">#pystac</a> to getting a working <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> dataset for <a href="https://fediscience.org/tags/Sentinel2" class="mention hashtag" rel="nofollow noopener" target="_blank">#Sentinel2</a> reflectances? <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://fediscience.org/tags/geopython" class="mention hashtag" rel="nofollow noopener" target="_blank">#geopython</a>

Yann Büchau :nixos: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- <a href="https://fosstodon.org/tags/netCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#netCDF</a> natively supporting complex numbers - <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> and <a href="https://fosstodon.org/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#pandas</a> to natively support physical units (<a href="https://fosstodon.org/tags/pint" class="mention hashtag" rel="nofollow noopener" target="_blank">#pint</a> is great on its own but the integrations leave a LOT to be desired) - <a href="https://fosstodon.org/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#Jupyter</a> notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.) - proper data pipeline systems ...

tlohdeSeeking recommendations for a <a href="https://fediscience.org/tags/WebMapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#WebMapping</a> tutorial / course?Slightly at sea on where to start.- My current JS skill level is _extreme novice_. - I don't have access to ArcGIS. - Comfortable with <a href="https://fediscience.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#QGIS</a> [*] and the <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://fediscience.org/tags/geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#geospatial</a> ecosystem (<a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#geopandas</a> <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://fediscience.org/tags/rasterio" class="mention hashtag" rel="nofollow noopener" target="_blank">#rasterio</a> and plotting with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#matplotlib</a>)Suggestions welcome. TIA. 👍 * I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.<a href="https://fediscience.org/tags/Leaflet" class="mention hashtag" rel="nofollow noopener" target="_blank">#Leaflet</a> <a href="https://fediscience.org/tags/OpenLayers" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenLayers</a> <a href="https://fediscience.org/tags/MapBox" class="mention hashtag" rel="nofollow noopener" target="_blank">#MapBox</a> <a href="https://fediscience.org/tags/PrototoMaps" class="mention hashtag" rel="nofollow noopener" target="_blank">#PrototoMaps</a> <a href="https://fediscience.org/tags/MapLibre" class="mention hashtag" rel="nofollow noopener" target="_blank">#MapLibre</a> <a href="https://fediscience.org/tags/d3js" class="mention hashtag" rel="nofollow noopener" target="_blank">#d3js</a> <a href="https://fediscience.org/tags/OpenStreetMap" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenStreetMap</a> <a href="https://fediscience.org/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a>

💧🌏 Greg CocksGSPy - A New Toolbox And Data Standard For Geophysical Datasets -- <a href="https://doi.org/10.3389/feart.2022.907614" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.3389/feart.2022.907614</a> <-- shared paper -- <a href="https://doi.org/10.5066/P9XNQVGQ" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.5066/P9XNQVGQ</a> | <a href="https://code.usgs.gov/g3sc/gspy" rel="nofollow noopener" translate="no" target="_blank">https://code.usgs.gov/g3sc/gspy</a> <-- shared code repository -- [an older paper, but code is in active and ongoing development/evolution] <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/geophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#geophysics</a> <a href="https://techhub.social/tags/geophysical" class="mention hashtag" rel="nofollow noopener" target="_blank">#geophysical</a> <a href="https://techhub.social/tags/NetCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#NetCDF</a> <a href="https://techhub.social/tags/datatypes" class="mention hashtag" rel="nofollow noopener" target="_blank">#datatypes</a> <a href="https://techhub.social/tags/code" class="mention hashtag" rel="nofollow noopener" target="_blank">#code</a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://techhub.social/tags/library" class="mention hashtag" rel="nofollow noopener" target="_blank">#library</a> <a href="https://techhub.social/tags/dataformats" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataformats</a> <a href="https://techhub.social/tags/standardisation" class="mention hashtag" rel="nofollow noopener" target="_blank">#standardisation</a> <a href="https://techhub.social/tags/standardization" class="mention hashtag" rel="nofollow noopener" target="_blank">#standardization</a> <a href="https://techhub.social/tags/openstandard" class="mention hashtag" rel="nofollow noopener" target="_blank">#openstandard</a> <a href="https://techhub.social/tags/portable" class="mention hashtag" rel="nofollow noopener" target="_blank">#portable</a> <a href="https://techhub.social/tags/metadata" class="mention hashtag" rel="nofollow noopener" target="_blank">#metadata</a> <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://techhub.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#package</a> <a href="https://techhub.social/tags/GSPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#GSPy</a> <a href="https://techhub.social/tags/methods" class="mention hashtag" rel="nofollow noopener" target="_blank">#methods</a> <a href="https://techhub.social/tags/workflows" class="mention hashtag" rel="nofollow noopener" target="_blank">#workflows</a> <a href="https://techhub.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://techhub.social/tags/CRS" class="mention hashtag" rel="nofollow noopener" target="_blank">#CRS</a> <a href="https://techhub.social/tags/opendata" class="mention hashtag" rel="nofollow noopener" target="_blank">#opendata</a> <a href="https://techhub.social/tags/architecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#architecture</a> <a href="https://techhub.social/tags/toolbox" class="mention hashtag" rel="nofollow noopener" target="_blank">#toolbox</a>

Alexander KmochJustus made a great intro on using <a href="https://fosstodon.org/tags/DGGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#DGGS</a> through <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://fosstodon.org/tags/xdggs" class="mention hashtag" rel="nofollow noopener" target="_blank">#xdggs</a> at the <a href="https://fosstodon.org/tags/Pangeo" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pangeo</a> showcase talk. Xdggs is now in a stage where you can use it fairly robustly with <a href="https://fosstodon.org/tags/HEALPIX" class="mention hashtag" rel="nofollow noopener" target="_blank">#HEALPIX</a> and <a href="https://fosstodon.org/tags/H3" class="mention hashtag" rel="nofollow noopener" target="_blank">#H3</a>. Other integrations like for <a href="https://fosstodon.org/tags/DGGRID" class="mention hashtag" rel="nofollow noopener" target="_blank">#DGGRID</a> are developed as separate plugins.<a href="https://youtube.com/watch?v=bAMGFKsxsjs&si=hnfpk04VMn-rggEV" rel="nofollow noopener" translate="no" target="_blank">https://youtube.com/watch?v=bAMGFKsxsjs&si=hnfpk04VMn-rggEV</a>

Thomas Lavergne... while I find ChatGPT increasingly useful for technical things like telling me how to manipulate <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> datasets in <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>, or how to add a docstring to my python routine.

Virgile AndreaniI am moving all my computing libraries to <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a>, no regrets. It is a natural way to manipulate datasets of rectangular arrays, with named coordinates and dimensions: <a href="https://xarray.dev/" rel="nofollow noopener" translate="no" target="_blank">https://xarray.dev/</a> There are several possible backends, including <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#dask</a> which allows lazy data loading. I had the pleasure of meeting some of the devs last week, who showed me a preview of the upcoming `DataTree` structure which is going to make this library even more versatile!<a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#numpy</a> <a href="https://fosstodon.org/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#ScientificComputing</a>

Luke Data Manager🌍📊 Want to work with NetCDF files in Python? My tutorial series covers everything from opening and plotting NetCDF data to creating CF-compliant files for FAIR data publication. Whether you're new to NetCDF or looking to enhance your skills, I've got you covered! 🚀 Check it out: <a href="https://lhmarsden.github.io/NetCDF_in_Python_from_beginner_to_pro" rel="nofollow noopener" translate="no" target="_blank">https://lhmarsden.github.io/NetCDF_in_Python_from_beginner_to_pro</a>Topics include: 🔸Extracting data 📝 🔸Plotting 📈 🔸Creating CF-compliant files 🌐 🔸Granularity 🖥️ 🔸CF & ACDD 🖥️Suggestions? Let me know! <a href="https://datasci.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://datasci.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataScience</a> <a href="https://datasci.social/tags/NetCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#NetCDF</a> <a href="https://datasci.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://datasci.social/tags/FAIRData" class="mention hashtag" rel="nofollow noopener" target="_blank">#FAIRData</a> <a href="https://datasci.social/tags/ClimateData" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClimateData</a>

Michael SumnerI dreamt that <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> kerchunk/VirtualiZarr was being used to stream music

Michael Sumnerxarray.open_mfdataset() is worth all the effort of learning <a href="https://rstats.me/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> and <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> every single time I use it makes me laugh "just open this mf dataset(s), please and thank you"

Michael SumnerCan we serialize a lazy <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> to json? Lining up 10000 URLs takes a minute, can we save it out?I figure that's what <a href="https://rstats.me/tags/kerchunk" class="mention hashtag" rel="nofollow noopener" target="_blank">#kerchunk</a> is, but it doesn't seem like it's used that way 🙏

Donald HobernMy mental picture of image files has always been of pixels covering a surface as tiles each like a tiny rectangular shapefile.Investigating <a href="https://scicomm.xyz/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://scicomm.xyz/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> has made me see the elegance of handling images as a grid of equally spaced dimensionless sensor readings. Upscaling/downscaling and interpolation become more meaningful and lossless, and image data is functionally identical to (although denser than) other point-based sensor data (e.g. weather stations).The data science becomes so clean.

Juan Nunez-IglesiasExcellent <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> <a href="https://fosstodon.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenScience</a> job opportunity: <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> community developer at Earthmover PBC:<a href="https://github.com/pydata/xarray/discussions/9059" rel="nofollow noopener" translate="no" target="_blank">https://github.com/pydata/xarray/discussions/9059</a>US-only 😞, but remote available 😊. And the Earthmover folks are awesome!<a href="https://fosstodon.org/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#GetFediHired</a>

Romain Caneill🎉 🎉 I released gsw-xarray v0.4.0 🎉 🎉 <a href="https://pypi.org/project/gsw-xarray/0.4.0/" rel="nofollow noopener" translate="no" target="_blank">https://pypi.org/project/gsw-xarray/0.4.0/</a>this release brings a new accessor for xarray, which may be a game changer for clarity and ease: `ds.gsw[["sigma0", "alpha"]]`<a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://fediscience.org/tags/oceanography" class="mention hashtag" rel="nofollow noopener" target="_blank">#oceanography</a>

sirhcv0.3.0 of yt_xarray is out!This includes the initial release of the embedded transformation framework -- the main perk being how it simplifies the process of using yt's volume rendering methods with non-cartesian data (which is common in geophysical datasets)! Full release notes at <a href="https://github.com/data-exp-lab/yt_xarray/releases/tag/v0.3.0" rel="nofollow noopener" translate="no" target="_blank">https://github.com/data-exp-lab/yt_xarray/releases/tag/v0.3.0</a>Figure uses relative humidity from a MERRA-2, see <a href="https://chrishavlin.github.io/NASASoftwareWorkshop2024/yt-xr-dev-02-transformations.html" rel="nofollow noopener" translate="no" target="_blank">https://chrishavlin.github.io/NASASoftwareWorkshop2024/yt-xr-dev-02-transformations.html</a> for an overview. <a href="https://fosstodon.org/tags/yt" class="mention hashtag" rel="nofollow noopener" target="_blank">#yt</a> <a href="https://fosstodon.org/tags/geophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#geophysics</a> <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://fosstodon.org/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataVisualization</a> <a href="https://fosstodon.org/tags/geodata" class="mention hashtag" rel="nofollow noopener" target="_blank">#geodata</a>

Olivier D'Hondt 🛰️🌍🌱I am deepening my knowledge of <a href="https://framapiaf.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> by actually using it to store intermediate data for the interferometric processing of Sentinel-1. I found that learning by doing is much more efficient for me than just reading about a topic. <a href="https://framapiaf.org/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://framapiaf.org/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#remotesensing</a> <a href="https://framapiaf.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

Michael SumnerJoin this cool <a href="https://rstats.me/tags/Pangeo" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pangeo</a> presentation (or watch it afterwards) about scalable <a href="https://rstats.me/tags/Zarr" class="mention hashtag" rel="nofollow noopener" target="_blank">#Zarr</a> with <a href="https://rstats.me/tags/Dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#Dask</a> and <a href="https://rstats.me/tags/Xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#Xarray</a><a href="https://discourse.pangeo.io/t/webinar-building-a-planetary-scale-earth-observation-data-cube-in-zarr/" rel="nofollow noopener" translate="no" target="_blank">https://discourse.pangeo.io/t/webinar-building-a-planetary-scale-earth-observation-data-cube-in-zarr/</a>A possible hook for # RStats folks, dask is like {targets} become toolkit, inside Xarray and all automatic

偉吉<a href="https://mapstodon.space/@pokateo" class="u-url mention" rel="nofollow noopener" target="_blank">@pokateo</a>Checking in from New Zealand! I'm developing a library to decode <a href="https://mastodon.nz/tags/GeoTIFF" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeoTIFF</a> files in <a href="https://mastodon.nz/tags/rustlang" class="mention hashtag" rel="nofollow noopener" target="_blank">#rustlang</a> (without using GDAL 😂). Currently trying to add an <a href="https://mastodon.nz/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> backend (in Python) at <a href="https://github.com/weiji14/cog3pio/pull/14" rel="nofollow noopener" translate="no" target="_blank">https://github.com/weiji14/cog3pio/pull/14</a>.

sirhcStoked about recent progress on yt_xarray's embedded transformation framework! This new feature takes a non-cartesian <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#xarray</a> dataset and wraps it in a cartesian <a href="https://fosstodon.org/tags/yt" class="mention hashtag" rel="nofollow noopener" target="_blank">#yt</a> dataset. As yt needs data, it will interpolate data on demand. This let's you use yt's volume rendering without saving off interpolated versions of datasets (which is how I used to do things...). Makes it **much** easier to generate volume renderings of geophysical fields with yt. <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://fosstodon.org/tags/data_viz" class="mention hashtag" rel="nofollow noopener" target="_blank">#data_viz</a> <a href="https://fosstodon.org/tags/3d" class="mention hashtag" rel="nofollow noopener" target="_blank">#3d</a>

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