Detailed walkthrough on loading particle data from the #yt_project in #inTRACKtive : https://youtu.be/7olNKbXDvf4?si=f0efDwGBiuyYM7XM
Or, just check out the detailed notebook on processing data to create an intermediate CSV that the inTRACKtive tools can port to the expected zarr format from this repo: https://github.com/data-exp-lab/inTRACKtive_yt_demo
#OpenSource #FOSS #tutorial #Python #yt
#DataVisualization #data_viz #3d #3dviz #3dvis
prototyping some work for yt_xarray!
working on a coordinate transformation pipeline that let's you build a cartesian yt dataset that samples data that is natively defined in a different coordinate system on the fly. This let's you use yt's full volume rendering (or in this video's case yt_idv's interactive rendering) without pre-computing an interpolated dataset. Instead, the interpolation happens within yt's chunking framework only when it needs it.
