I'm pleased to announce a major release of xray, v0.4. 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: xray.Dataset is an in-memory representation of a netCDF file. Documentation: http://xray.readthedocs.org/ GitHub: https://github.com/xray/xray Highlights of this release: * Automatic alignment of index labels in arithmetic and when combining arrays or datasets. * Aggregations like mean now skip missing values by default. * Relaxed equality rules in concat and merge for variables with equal value(s) but different shapes. * New drop method for dropping variables or index labels. * Support for reindexing with a fill method like pandas. For more details, read the full release notes: http://xray.readthedocs.org/en/stable/whats-new.html Best, Stephan
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Stephan Hoyer