xarray: N-D labeled arrays and datasets in Python

xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.

Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xarray.Dataset is an in-memory representation of a netCDF file.

See also

Get in touch

  • Ask usage questions (“How do I?”) on StackOverflow.
  • Report bugs, suggest features or view the source code on GitHub.
  • For less well defined questions or ideas, or to announce other projects of interest to xarray users, use the mailing list.

NumFOCUS

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Xarray is a fiscally sponsored project of NumFOCUS, a nonprofit dedicated to supporting the open source scientific computing community. If you like Xarray and want to support our mission, please consider making a donation to support our efforts.

History

xarray is an evolution of an internal tool developed at The Climate Corporation. It was originally written by Climate Corp researchers Stephan Hoyer, Alex Kleeman and Eugene Brevdo and was released as open source in May 2014. The project was renamed from “xray” in January 2016. Xarray became a fiscally sponsored project of NumFOCUS in August 2018.

License

xarray is available under the open source Apache License.