This major release includes five months worth of enhancements and bug fixes from 24 contributors, including some significant changes that are not fully backwards compatible. Highlights include: Coordinates are now optional in the xarray data model, even for dimensions. Changes to caching, lazy loading and pickling to improve xarray's experience for parallel computing. Improvements for accessing and manipulating pandas.MultiIndex levels. Many new methods and functions, including quantile(), cumsum(), cumprod() combine_first set_index(), reset_index(), reorder_levels(), full_like(), zeros_like(), ones_like() open_dataarray(), compute(), Dataset.info(), testing.assert_equal(), testing.assert_identical(), and testing.assert_allclose(). For mo...
This release includes a number of bug fixes and minor enhancements. Breaking changes broadcast()...
The minor release includes a number of bug-fixes and backwards compatible enhancements. For full det...
This patch release fixes an incompatibility with a recent pandas change, which was causing an issue ...
This is a major release that includes bug fixes, new features and a few backwards incompatible chang...
This release includes a number of backwards compatible enhancements and bug fixes. Enhancements New...
The minor release includes bug-fixes and backwards compatible enhancements. Enhancements .rolling()...
This release brings a few important performance improvements, a wide range of usability upgrades, lo...
This release brings many new features such as weighted methods for weighted array reductions, a new ...
This release brings improvements to plotting of categorical data, the ability to specify how attribu...
This release brings a few important performance improvements, a wide range of usability upgrades, lo...
The minor release includes a number of bug-fixes and enhancements, along with one possibly backwards...
The minor release includes a number of bug-fixes and backwards compatible enhancements. For full det...
This release brings improved support for pint arrays, methods for weighted standard deviation, varia...
This release adds xarray.cov & xarray.corr for covariance & correlation respectively; the idxmax & i...
v0.8.0 (2 August 2016) This release includes new features and bug fixes, including several breaking...
This release includes a number of bug fixes and minor enhancements. Breaking changes broadcast()...
The minor release includes a number of bug-fixes and backwards compatible enhancements. For full det...
This patch release fixes an incompatibility with a recent pandas change, which was causing an issue ...
This is a major release that includes bug fixes, new features and a few backwards incompatible chang...
This release includes a number of backwards compatible enhancements and bug fixes. Enhancements New...
The minor release includes bug-fixes and backwards compatible enhancements. Enhancements .rolling()...
This release brings a few important performance improvements, a wide range of usability upgrades, lo...
This release brings many new features such as weighted methods for weighted array reductions, a new ...
This release brings improvements to plotting of categorical data, the ability to specify how attribu...
This release brings a few important performance improvements, a wide range of usability upgrades, lo...
The minor release includes a number of bug-fixes and enhancements, along with one possibly backwards...
The minor release includes a number of bug-fixes and backwards compatible enhancements. For full det...
This release brings improved support for pint arrays, methods for weighted standard deviation, varia...
This release adds xarray.cov & xarray.corr for covariance & correlation respectively; the idxmax & i...
v0.8.0 (2 August 2016) This release includes new features and bug fixes, including several breaking...
This release includes a number of bug fixes and minor enhancements. Breaking changes broadcast()...
The minor release includes a number of bug-fixes and backwards compatible enhancements. For full det...
This patch release fixes an incompatibility with a recent pandas change, which was causing an issue ...