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.
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:
Best,
Stephan