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.

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
...

Seeking recommendations for a #WebMapping 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 #QGIS [*] and the #python #geospatial ecosystem (#geopandas #xarray #rasterio and plotting with #matplotlib)

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'.

GSPy - A New Toolbox And Data Standard For Geophysical Datasets
--
https://doi.org/10.3389/feart.2022.907614 <-- shared paper
--
https://doi.org/10.5066/P9XNQVGQ | https://code.usgs.gov/g3sc/gspy <-- shared code repository
--
[an older paper, but code is in active and ongoing development/evolution]
#GIS #spatial #mapping #geophysics #geophysical #NetCDF #datatypes #code #opensource #library #dataformats #standardisation #standardization #openstandard #portable #metadata #Python #package #GSPy #methods #workflows #xarray #CRS #opendata #architecture #toolbox

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: https://lhmarsden.github.io/NetCDF_in_Python_from_beginner_to_pro

Topics include:
Extracting data
Plotting
Creating CF-compliant files
Granularity
CF & ACDD

Suggestions? Let me know! #Python #DataScience #NetCDF #xarray #FAIRData #ClimateData

I have ace colleagues, part 243:

My colleague Luke (LukeDataManager) has a Youtube channel where he helps people prepare #OpenData #FAIRdata:

His most recent series is about #Python, #Xarray, #NetCDF, etc...

Give him a follow (on Youtube) and a retoot (here)? https://youtube.com/@LukeDataManager?si=VMU9ehIPE8eyRaCt

@asm Thank you for introducing me to Xarray (https://github.com/pydata/xarray) ! Like #Pandas but faster simpler and more scalable. It even has labeled dimensions, like a #DataFrame. Looks like it's compatible with #Dask too.

#DYK?

One can now open #netCDF files having groups with #python #xarray-datatree !

> datatree.open_datatree('file.nc')

-> https://xarray-datatree.readthedocs.io/en/latest/index.html

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!