xray: N-D labeled arrays and datasets in Python¶
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, Series and DataFrame: the xray DataArray and Dataset.
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 (e.g., netCDF and OPeNDAP): xray.Dataset is an in-memory representation of a netCDF file.
Documentation¶
Important links¶
- HTML documentation: http://xray.readthedocs.org
- Issue tracker: http://github.com/xray/xray/issues
- Source code: http://github.com/xray/xray
- PyData talk: https://www.youtube.com/watch?v=T5CZyNwBa9c
Get in touch¶
- Mailing list: https://groups.google.com/forum/#!forum/xray-dev
- Twitter: http://twitter.com/shoyer
xray is an ambitious project and we have a lot of work to do make it as powerful as it should be. We would love to hear your thoughts!
License¶
xray is available under the open source Apache License.
History¶
xray is an evolution of an internal tool developed at The Climate Corporation, and was originally written by current and former Climate Corp researchers Stephan Hoyer, Alex Kleeman and Eugene Brevdo.