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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>
Yann Büchau :nixos:<p>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</p><p>- <a href="https://fosstodon.org/tags/netCDF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>netCDF</span></a> natively supporting complex numbers<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/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> and <a href="https://fosstodon.org/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> to natively support physical units (<a href="https://fosstodon.org/tags/pint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pint</span></a> is great on its own but the integrations leave a LOT to be desired)<br>- <a href="https://fosstodon.org/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jupyter</span></a> notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)<br>- proper data pipeline systems<br>...</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>
💧🌏 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>
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>
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>I dreamt that <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> kerchunk/VirtualiZarr was being used to stream music</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>
Michael Sumner<p>Join this cool <a href="https://rstats.me/tags/Pangeo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pangeo</span></a> presentation (or watch it afterwards) about scalable <a href="https://rstats.me/tags/Zarr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zarr</span></a> with <a href="https://rstats.me/tags/Dask" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Dask</span></a> and <a href="https://rstats.me/tags/Xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Xarray</span></a></p><p><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"><span class="invisible">https://</span><span class="ellipsis">discourse.pangeo.io/t/webinar-</span><span class="invisible">building-a-planetary-scale-earth-observation-data-cube-in-zarr/</span></a></p><p>A possible hook for # RStats folks, dask is like {targets} become toolkit, inside Xarray and all automatic</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>
💧🌏 Greg Cocks<p>Py3DEP [hydroclimate analysis]<br>--<br><a href="https://pypi.org/project/py3dep/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">pypi.org/project/py3dep/</span><span class="invisible"></span></a> &lt;-- link to app / resources<br>--<br>“Py3DEP is a part of [PyGeoUtils] HyRiver software stack that is designed to aid in hydroclimate analysis through web services. This package provides access to the 3DEP database which is a part of the National Map services. The 3DEP service has multi-resolution sources and depending on the user-provided resolution, the data is resampled on the server-side based on all the available data sources. Py3DEP returns the requests as xarray dataset…”<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/Py3DEP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Py3DEP</span></a> <a href="https://techhub.social/tags/PyGeoUtils" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyGeoUtils</span></a> <a href="https://techhub.social/tags/HyRiver" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HyRiver</span></a> <a href="https://techhub.social/tags/softwarestack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>softwarestack</span></a> <a href="https://techhub.social/tags/elevation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>elevation</span></a> <a href="https://techhub.social/tags/3DEP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3DEP</span></a> <a href="https://techhub.social/tags/USGS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USGS</span></a> <a href="https://techhub.social/tags/NationalMap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NationalMap</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/processing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>processing</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/hydroclimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hydroclimate</span></a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>water</span></a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hydrology</span></a> <a href="https://techhub.social/tags/webservices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>webservices</span></a> <a href="https://techhub.social/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <br>@HyRiver @USGS</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>
Michael Sumner<p>how to pick out values on a trajectory through an <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> I just want the nearest values to each vertex </p><p>I think I'm searching the wrong terms</p>
Michael Sumner<p>does <a href="https://rstats.me/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> have a virtual format it can serialize to?</p>
Zarr<p>It's sprint day of <a href="https://fosstodon.org/tags/SciPy2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SciPy2023</span></a>! Fun with teams <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> and <a href="https://fosstodon.org/tags/astropy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>astropy</span></a> so far. Now, post-lunch, we're ready for round two.</p><p>As always, stop by if you're in interested in the remaining swag.</p><p><span class="h-card"><a href="https://chirp.social/@scipy2023" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>scipy2023</span></a></span></p>
Jose<p><span class="h-card"><a href="https://sigmoid.social/@conorosully" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>conorosully</span></a></span> <span class="h-card"><a href="https://fediscience.org/@lavergnetho" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>lavergnetho</span></a></span> Also, consider getting a Microsoft Planetary Computer account. Although Google's equivalent has been around longer, <a href="https://fediscience.org/tags/PlanetaryComputer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PlanetaryComputer</span></a> allows you to do these things easily with standard Python tools and libraries (eg <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> )</p>