User Guide#
The two core objects: DataArray for a single acquisition and
DataCollection for grouping multiple acquisitions together.
How array axes are mapped to physical values — interpolated, sampled, dense, and scalar coordinate types, including handling of gaps and overlaps.
Supported DAS file formats, how to add a custom engine, and how virtual datasets let you access large multi-file acquisitions as a single seamless array.
Building processing sequences with Atom objects and applying
them chunk-by-chunk on datasets larger than memory, including real-time streaming.
Short, task-focused recipes for common domain-specific workflows such as converting strain-rate to displacement.
Answers to frequently asked questions, including why xdas exists alongside xarray and dask.