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Releases: pydata/xarray

v0.17.0

26 Feb 06:45
835a53e
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This release brings a few important performance improvements, a wide range of usability upgrades, lots of bug fixes, and some new features. These include better cftime support, a new quiver plot, better unstack performance, more efficient memory use in rolling operations, and some python packaging improvements. We also have a few documentation improvements (and more planned!).

v0.16.2

30 Nov 21:28
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This release brings the ability to write to limited regions of zarr files, open zarr files with open_dataset and open_mfdataset, increased support for propagating attrs using the keep_attrs flag, as well as numerous bugfixes and documentation improvements.

v0.16.1

20 Sep 19:43
633187e
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This patch release fixes an incompatibility with a recent pandas change, which was causing an issue indexing with a datetime64. It also includes improvements to rolling, to_dataframe, cov & corr methods and bug fixes. Our documentation has a number of improvements, including fixing all doctests and confirming their accuracy on every commit.

v0.16.0

11 Jul 20:58
v0.16.0
5676926
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This release adds xarray.cov & xarray.corr for covariance & correlation respectively; the idxmax & idxmin methods, the polyfit method & xarray.polyval for fitting polynomials, as well as a number of documentation improvements, other features, and bug fixes. Many thanks to all 44 contributors who contributed to this release.

v0.15.1

23 Mar 21:04
732b6cd
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This release brings many new features such as weighted methods for weighted array reductions, a new jupyter repr by default, and the start of units integration with pint. There's also the usual batch of usability improvements, documentation additions, and bug fixes.

v0.15.0

30 Jan 18:39
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v0.15.0

v0.14.1

19 Nov 22:50
v0.14.1
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v0.14.1

v0.14.0

14 Oct 21:22
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v0.14.0

v0.13.0

17 Sep 19:36
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v0.13.0

v0.12.3

29 Jul 21:00
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v0.12.3