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An overview of the yt_xarray embedded transformation framework. Proceeding clockwise from the top left in 3 panels is (1) a map-projection of relative humidity from a MERRA-2 sample. (2) this data is wrapped in a variable resolution yt cartesian data set, allowing access to yt's methods that require cartesian datasets like (3) volume rendering.

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An overview of the yt_xarray embedded transformation framework. Proceeding clockwise from the top left in 3 panels is (1) a map-projection of relative humidity from a MERRA-2 sample. (2) this data is wrapped in a variable resolution yt cartesian data set, allowing access to yt's methods that require cartesian datasets like (3) volume rendering.
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sirhc (sirhc@fosstodon.org)'s status on Friday, 24-May-2024 05:41:21 JST sirhc

v0.3.0 of yt_xarray is out!
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)!
Full release notes at https://github.com/data-exp-lab/yt_xarray/releases/tag/v0.3.0
Figure uses relative humidity from a MERRA-2, see https://chrishavlin.github.io/NASASoftwareWorkshop2024/yt-xr-dev-02-transformations.html for an overview.
#yt #geophysics #xarray #python #DataVisualization #geodata

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