Heard a nice talk today in #Berlin from Jean-Luc Stevens about #Holoviz at @pyberlin . #hvPlot and #Datashader look like a powerful combination to render large datasets. Jean-Luc works like @sophiamyang for #Anaconda
https://holoviz.org/index.html

☯️ #zen3geo v0.6.1. Quick patch release with full support for 🐍 Python 3.11! Made a couple of bug fixes 🐞 to DatashaderRasterizer (for turning points/lines/polygons to pixel masks based on a template raster). Also sneaked in a tiny enhancement ✨ to XpySTACAssetReader (which wraps around `xarray.open_dataset`) to work without xpystac 🙃. Find out more in the release notes at https://zen3geo.readthedocs.io/en/v0.6.1/changelog.html.

@pytorch #TorchData #Python #DataShader #xarray #gischat #geospatial #datapipeline #computervision

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader is not not rendered in the slides but works great in a #notebook

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

@ruthpozuelo @lavergnetho @EL_Uatu I would use https://geoviews.org/gallery/matplotlib/filled_contours.html

In general, I use https://datashader.org/ and https://holoviews.org/user_guide/Large_Data.html a lot those days and it can create interactive bokeh or static matplotlib with the same code.

#datashader can resample huge dataset on the fly

#datashader #geoviews #holoviews are magic, really loving it.

#30DayMapChallenge Day 24. The constellation of “stars” in the Greater Region of #Luxembourg.
“Stars” are the whereabouts of cross-border commuters from #Belgium, #France & #Germany, working in Lux.
A #datashader experiment using Twitter data from https://doi.org/10.1080/09654313.2022.2108312