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#xarray

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Laurent Courty<p>I am excited to announce xarray-grass, a new free software Python library designed to bridge two open source data science heavy weights: <span class="h-card" translate="no"><a href="https://fosstodon.org/@grassgis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>grassgis</span></a></span> and <a href="https://mastodon.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> (<a href="https://xarray.dev/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">xarray.dev/</span><span class="invisible"></span></a>).</p><p>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"><span class="invisible">https://</span><span class="">github.com/lrntct/xarray-grass</span><span class="invisible"></span></a>) and experiment with it. Your insights and contributions will play a significant role in the project's future.</p>
Jose<p><a href="https://fediscience.org/tags/geo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geo</span></a> <a href="https://fediscience.org/tags/RemoteSensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RemoteSensing</span></a> <a href="https://fediscience.org/tags/earthobservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>earthobservation</span></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">#<span>Copernicus</span></a> <a href="https://fediscience.org/tags/DataSpace" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSpace</span></a> -&gt; <a href="https://documentation.dataspace.copernicus.eu/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">documentation.dataspace.copern</span><span class="invisible">icus.eu/</span></a> to go from searching using <a href="https://fediscience.org/tags/pystac" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pystac</span></a> to getting a working <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> dataset for <a href="https://fediscience.org/tags/Sentinel2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sentinel2</span></a> reflectances? <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fediscience.org/tags/geopython" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geopython</span></a></p>
tlohde<p>Seeking recommendations for a <a href="https://fediscience.org/tags/WebMapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebMapping</span></a> tutorial / course?</p><p>Slightly at sea on where to start.</p><p>- My current JS skill level is _extreme novice_.<br>- I don't have access to ArcGIS.<br>- Comfortable with <a href="https://fediscience.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QGIS</span></a> [*] and the <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fediscience.org/tags/geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geospatial</span></a> ecosystem (<a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geopandas</span></a> <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://fediscience.org/tags/rasterio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rasterio</span></a> and plotting with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>)</p><p>Suggestions welcome. TIA. 👍 </p><p>* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.</p><p><a href="https://fediscience.org/tags/Leaflet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Leaflet</span></a> <a href="https://fediscience.org/tags/OpenLayers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenLayers</span></a> <a href="https://fediscience.org/tags/MapBox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MapBox</span></a> <a href="https://fediscience.org/tags/PrototoMaps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PrototoMaps</span></a> <a href="https://fediscience.org/tags/MapLibre" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MapLibre</span></a> <a href="https://fediscience.org/tags/d3js" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>d3js</span></a> <a href="https://fediscience.org/tags/OpenStreetMap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenStreetMap</span></a> <a href="https://fediscience.org/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a></p>
EOMasters<p>𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀 <br>SpatialThoughts provides tutorials which cover a broad range of geospatial topics and technologies, e.g., <a href="https://mastodon.green/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeoPandas</span></a>, <a href="https://mastodon.green/tags/XArray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>XArray</span></a>, <a href="https://mastodon.green/tags/dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dask</span></a>, and more. Each technology is described in a notebook with step-by-step explanation. Check it out.<br><a href="https://www.geopythontutorials.com" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">geopythontutorials.com</span><span class="invisible"></span></a></p>
ashwinvis<p>How did I miss this?! This could be a nice way to manage big datasets with multiple files.</p><p>xarray.DataTree for hierarchical data structures</p><p><a href="https://xarray.dev/blog/datatree" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">xarray.dev/blog/datatree</span><span class="invisible"></span></a></p><p><a href="https://mastodon.acc.sunet.se/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://mastodon.acc.sunet.se/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.acc.sunet.se/tags/DataManagement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataManagement</span></a></p>
💧🌏 Greg Cocks<p>GSPy - A New Toolbox And Data Standard For Geophysical Datasets<br>--<br><a href="https://doi.org/10.3389/feart.2022.907614" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.3389/feart.2022.907</span><span class="invisible">614</span></a> &lt;-- shared paper<br>--<br><a href="https://doi.org/10.5066/P9XNQVGQ" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.5066/P9XNQVGQ</span><span class="invisible"></span></a> | <a href="https://code.usgs.gov/g3sc/gspy" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">code.usgs.gov/g3sc/gspy</span><span class="invisible"></span></a> &lt;-- shared code repository<br>--<br>[an older paper, but code is in active and ongoing development/evolution]<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/geophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geophysics</span></a> <a href="https://techhub.social/tags/geophysical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geophysical</span></a> <a href="https://techhub.social/tags/NetCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetCDF</span></a> <a href="https://techhub.social/tags/datatypes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datatypes</span></a> <a href="https://techhub.social/tags/code" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>code</span></a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://techhub.social/tags/library" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>library</span></a> <a href="https://techhub.social/tags/dataformats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataformats</span></a> <a href="https://techhub.social/tags/standardisation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>standardisation</span></a> <a href="https://techhub.social/tags/standardization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>standardization</span></a> <a href="https://techhub.social/tags/openstandard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openstandard</span></a> <a href="https://techhub.social/tags/portable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>portable</span></a> <a href="https://techhub.social/tags/metadata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metadata</span></a> <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://techhub.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> <a href="https://techhub.social/tags/GSPy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GSPy</span></a> <a href="https://techhub.social/tags/methods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methods</span></a> <a href="https://techhub.social/tags/workflows" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>workflows</span></a> <a href="https://techhub.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://techhub.social/tags/CRS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CRS</span></a> <a href="https://techhub.social/tags/opendata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opendata</span></a> <a href="https://techhub.social/tags/architecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>architecture</span></a> <a href="https://techhub.social/tags/toolbox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>toolbox</span></a></p>
Alexander Kmoch<p>Justus made a great intro on using <a href="https://fosstodon.org/tags/DGGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DGGS</span></a> through <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://fosstodon.org/tags/xdggs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xdggs</span></a> at the <a href="https://fosstodon.org/tags/Pangeo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pangeo</span></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">#<span>HEALPIX</span></a> and <a href="https://fosstodon.org/tags/H3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>H3</span></a>. Other integrations like for <a href="https://fosstodon.org/tags/DGGRID" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DGGRID</span></a> are developed as separate plugins.</p><p><a href="https://youtube.com/watch?v=bAMGFKsxsjs&amp;si=hnfpk04VMn-rggEV" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtube.com/watch?v=bAMGFKsxsj</span><span class="invisible">s&amp;si=hnfpk04VMn-rggEV</span></a></p>
Thomas Lavergne<p>... 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">#<span>xarray</span></a> datasets in <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a>, or how to add a docstring to my python routine.</p>
Virgile Andreani<p>I am moving all my computing libraries to <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></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"><span class="invisible">https://</span><span class="">xarray.dev/</span><span class="invisible"></span></a><br>There are several possible backends, including <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dask</span></a> which allows lazy data loading.<br>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!</p><p><a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numpy</span></a> <a href="https://fosstodon.org/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScientificComputing</span></a></p>
Luke Data Manager<p>🌍📊 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. </p><p>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"><span class="invisible">https://</span><span class="ellipsis">lhmarsden.github.io/NetCDF_in_</span><span class="invisible">Python_from_beginner_to_pro</span></a></p><p>Topics include:<br>🔸Extracting data 📝<br>🔸Plotting 📈<br>🔸Creating CF-compliant files 🌐<br>🔸Granularity 🖥️<br>🔸CF &amp; ACDD 🖥️</p><p>Suggestions? Let me know! <a href="https://datasci.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://datasci.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://datasci.social/tags/NetCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetCDF</span></a> <a href="https://datasci.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://datasci.social/tags/FAIRData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIRData</span></a> <a href="https://datasci.social/tags/ClimateData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ClimateData</span></a></p>
Michael Sumner<p>xarray.open_mfdataset() is worth all the effort of learning <a href="https://rstats.me/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> and <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <br> every single time I use it makes me laugh </p><p>"just open this mf dataset(s), please and thank you"</p>
Michael Sumner<p>Can we serialize a lazy <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> to json? Lining up 10000 URLs takes a minute, can we save it out?</p><p>I figure that's what <a href="https://rstats.me/tags/kerchunk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kerchunk</span></a> is, but it doesn't seem like it's used that way 🙏</p>
Juan Nunez-Iglesias<p>Excellent <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://fosstodon.org/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a> job opportunity: <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> community developer at Earthmover PBC:</p><p><a href="https://github.com/pydata/xarray/discussions/9059" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/pydata/xarray/discu</span><span class="invisible">ssions/9059</span></a></p><p>US-only 😞, but remote available 😊. And the Earthmover folks are awesome!</p><p><a href="https://fosstodon.org/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GetFediHired</span></a></p>
sirhc<p>v0.3.0 of yt_xarray is out!</p><p>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)! </p><p>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"><span class="invisible">https://</span><span class="ellipsis">github.com/data-exp-lab/yt_xar</span><span class="invisible">ray/releases/tag/v0.3.0</span></a></p><p>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"><span class="invisible">https://</span><span class="ellipsis">chrishavlin.github.io/NASASoft</span><span class="invisible">wareWorkshop2024/yt-xr-dev-02-transformations.html</span></a> for an overview. </p><p><a href="https://fosstodon.org/tags/yt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>yt</span></a> <a href="https://fosstodon.org/tags/geophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geophysics</span></a> <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataVisualization</span></a> <a href="https://fosstodon.org/tags/geodata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geodata</span></a></p>
偉吉<p><span class="h-card" translate="no"><a href="https://mapstodon.space/@pokateo" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>pokateo</span></a></span></p><p>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">#<span>GeoTIFF</span></a> files in <a href="https://mastodon.nz/tags/rustlang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rustlang</span></a> (without using GDAL 😂). Currently trying to add an <a href="https://mastodon.nz/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> backend (in Python) at <a href="https://github.com/weiji14/cog3pio/pull/14" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/weiji14/cog3pio/pul</span><span class="invisible">l/14</span></a>.</p>
sirhc<p>Stoked 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">#<span>xarray</span></a> dataset and wraps it in a cartesian <a href="https://fosstodon.org/tags/yt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>yt</span></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.<br><a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/data_viz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data_viz</span></a> <a href="https://fosstodon.org/tags/3d" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3d</span></a></p>
Thomas Lavergne<p>I have ace colleagues, part 243:</p><p>My colleague Luke (LukeDataManager) has a Youtube channel where he helps people prepare <a href="https://fediscience.org/tags/OpenData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenData</span></a> <a href="https://fediscience.org/tags/FAIRdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FAIRdata</span></a>:</p><p>His most recent series is about <a href="https://fediscience.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a>, <a href="https://fediscience.org/tags/Xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Xarray</span></a>, <a href="https://fediscience.org/tags/NetCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NetCDF</span></a>, etc...</p><p>Give him a follow (on Youtube) and a retoot (here)? <a href="https://youtube.com/@LukeDataManager?si=VMU9ehIPE8eyRaCt" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtube.com/@LukeDataManager?s</span><span class="invisible">i=VMU9ehIPE8eyRaCt</span></a></p>
Michael Aye<p><a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/geodata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geodata</span></a> It's so convenient these days to have libraries like <a href="https://mastodon.online/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> and <a href="https://mastodon.online/tags/rioxarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rioxarray</span></a> that can open huge image mosaic files with 45k x 29k pixels in a virtual fashion automagically, using <a href="https://mastodon.online/tags/dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dask</span></a> under the hood. Just looking up a few hundred pixels using xarray logic and add a `.compute()` at the end to get the result. So cool. thanks to all those devs to make it work so nice!</p>
Thomas Lavergne<p><a href="https://fediscience.org/tags/DYK" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DYK</span></a>?</p><p>One can now open <a href="https://fediscience.org/tags/netCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netCDF</span></a> files having groups with <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a>-datatree !</p><p>&gt; datatree.open_datatree('file.nc')</p><p>-&gt; <a href="https://xarray-datatree.readthedocs.io/en/latest/index.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">xarray-datatree.readthedocs.io</span><span class="invisible">/en/latest/index.html</span></a></p><p>So far I had to handle dict() of xarray datasets and it was a pain. Looking forward to giving this a try with actual satellite data files!</p>
PyData Madrid<p>¡Arranca PyData Madrid! Daniel González arranca hablando de datos en dimensiones "más allá del tiempo y del espacio" con <a href="https://masto.ai/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> </p><p><a href="https://masto.ai/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://masto.ai/tags/pydatamadrid" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydatamadrid</span></a> <a href="https://masto.ai/tags/pydata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydata</span></a></p>