Hierarchical Data Analysis with Xarray DataTree & Zarr
Deepak Cherian, Negin Sobhani, Ian Hunt-Isaak, Eniola Awowale, Tom Nicholas, Joe Hamman, Justus Magin
Xarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets. Many real-world datasets often have hierarchical or heterogeneous structure, and are best organized through groups of related data arrays. Through xarray.DataTree, the xarray data model now supports opening datasets with a hierarchical structure of groups, such as HDF5 files and Zarr stores. This expanded data model is now general enough to manage data across different scientific disciplines, including geosciences and biosciences. This hands-on tutorial focuses on intermediate and advanced workflows using xarray to analyze real-world hierarchical data.
