Keep Exploring!#
To help you go deeper, we’ve also create a list of notebooks that demonstrate real-world applications of Xarray in a variety of use cases. These need not be explored in any particular sequence, instead they are meant to provide a sampling of what Xarray can be used for.
See also
The Xarray blog has a number of user stories showcasing Xarray in many scientific domains.
Project Pythia Foundations is a great collection of material on Xarray and related packages.
Weather and Climate#
Global Mean Surface Temperature from CMIP6: Start with
global_mean_surface_temp.ipynb
then feel free to explore the rest of the notebooks.National Water Model Streamflow Analysis: Start with
02_National_Water_Model.ipynb
then feel free to explore the rest of the notebooks.The Project Pythia Cookbooks are a great collection of resources showcasing use of Xarray with real world datasets.
Bayesian Statistical Modeling#
Xarray and PyMC3: Start with
multilevel_modeling.ipynb
then feel free to explore the rest of the notebooks. Also checkout Arviz which uses Xarray as its data model.