html_url,id,author,node_id,tag_name,target_commitish,name,draft,prerelease,created_at,published_at,body,reactions,mentions_count,repo
https://github.com/pydata/xarray/releases/tag/v0.14.0,20693780,2443309,MDc6UmVsZWFzZTIwNjkzNzgw,v0.14.0,master,v0.14.0,0,0,2019-10-14T19:52:45Z,2019-10-14T21:22:57Z,,,,13221727
https://github.com/pydata/xarray/releases/tag/v0.8.0,3809120,2443309,MDc6UmVsZWFzZTM4MDkxMjA=,v0.8.0,main,v0.8.0,0,0,2016-08-03T18:08:44Z,2016-08-04T04:46:51Z,"## v0.8.0 (2 August 2016)

This release includes new features and bug fixes, including several breaking changes.

# Breaking changes
- Dropped support for Python 2.6 (#855).
- Indexing on multi-index now drop levels, which is consistent with pandas. It also changes the name of the dimension / coordinate when the multi-index is reduced to a single index (#802).
- Contour plots no longer add a colorbar per default (#866). Filled contour plots are unchanged.
- `DataArray.values` and `.data` now always returns an NumPy array-like object, even for 0-dimensional arrays with object dtype (#867). Previously, `.values` returned native Python objects in such cases. To convert the values of scalar arrays to Python objects, use the `.item()` method.

# Enhancements
- Groupby operations now support grouping over multidimensional variables. A new method called `xarray.Dataset.groupby_bins` has also been added to allow users to specify bins for grouping. The new features are described in `groupby.multidim` and `examples.multidim`. By [Ryan Abernathey](http://github.com/rabernat).
- DataArray and Dataset method `where` now supports a `drop=True` option that clips coordinate elements that are fully masked. By [Phillip J. Wolfram](https://github.com/pwolfram).
- New top level `merge` function allows for combining variables from any number of `Dataset` and/or `DataArray` variables. See `merge` for more details. By [Stephan Hoyer](https://github.com/shoyer).
- DataArray and Dataset method `resample` now supports the `keep_attrs=False` option that determines whether variable and dataset attributes are retained in the resampled object. By [Jeremy McGibbon](https://github.com/mcgibbon).
- Better multi-index support in DataArray and Dataset `sel` and `loc` methods, which now behave more closely to pandas and which also accept dictionaries for indexing based on given level names and labels (see `multi-level indexing`). By [Benoit Bovy](https://github.com/benbovy).
- New (experimental) decorators `xarray.register_dataset_accessor` and `xarray.register_dataarray_accessor` for registering custom xarray extensions without subclassing. They are described in the new documentation page on `internals`. By [Stephan Hoyer](https://github.com/shoyer).
- Round trip boolean datatypes. Previously, writing boolean datatypes to netCDF formats would raise an error since netCDF does not have a `bool` datatype. This feature reads/writes a `dtype` attribute to boolean variables in netCDF files. By [Joe Hamman](https://github.com/jhamman).
- 2D plotting methods now have two new keywords (`cbar_ax` and `cbar_kwargs`), allowing more control on the colorbar (#872). By [Fabien Maussion](https://github.com/fmaussion).
- New Dataset method `filter_by_attrs`, akin to `netCDF4.Dataset.get_variables_by_attributes`, to easily filter data variables using its attributes. [Filipe Fernandes](https://github.com/ocefpaf).

# Bug fixes
- Attributes were being retained by default for some resampling operations when they should not. With the `keep_attrs=False` option, they will no longer be retained by default. This may be backwards-incompatible with some scripts, but the attributes may be kept by adding the `keep_attrs=True` option. By [Jeremy McGibbon](https://github.com/mcgibbon).
- Concatenating xarray objects along an axis with a MultiIndex or PeriodIndex preserves the nature of the index (#875). By [Stephan Hoyer](https://github.com/shoyer).
- Fixed bug in arithmetic operations on DataArray objects whose dimensions are numpy structured arrays or recarrays #861, #837. By [Maciek Swat](https://github.com/maciekswat).
- `decode_cf_timedelta` now accepts arrays with `ndim` >1 (#842). This fixes issue #665. [Filipe Fernandes](https://github.com/ocefpaf).
- Fix a bug where `xarray.ufuncs` that take two arguments would incorrectly use to numpy functions instead of dask.array functions (#876). By [Stephan Hoyer](https://github.com/shoyer).
- Support for pickling functions from  `xarray.ufuncs` (#901). By [Stephan Hoyer](https://github.com/shoyer).
- `Variable.copy(deep=True)` no longer converts MultiIndex into a base Index (#769). By [Benoit Bovy](https://github.com/benbovy).
- Fixes for groupby on dimensions with a multi-index (#867). By [Stephan Hoyer](https://github.com/shoyer).
- Fix printing datasets with unicode attributes on Python 2 (#892). By [Stephan Hoyer](https://github.com/shoyer).
- Fixed incorrect test for dask version (#891). By [Stephan Hoyer](https://github.com/shoyer).
- Fixed `dim` argument for `isel_points`/`sel_points` when a `pandas.Index` is passed. By [Stephan Hoyer](https://github.com/shoyer).
- `xarray.plot.contour` now plots the correct number of contours (#866). By [Fabien Maussion](https://github.com/fmaussion).
",,,13221727
https://github.com/pydata/xarray/releases/tag/v0.8.0rc1,3808932,2443309,MDc6UmVsZWFzZTM4MDg5MzI=,v0.8.0rc1,main,v0.8.0rc1,0,1,2016-07-29T04:37:38Z,2016-08-04T03:43:56Z,,,,13221727
https://github.com/pydata/xarray/releases/tag/v0.7.2,3808931,2443309,MDc6UmVsZWFzZTM4MDg5MzE=,v0.7.2,main,v0.7.2,0,0,2016-03-14T03:55:14Z,2016-08-04T03:43:41Z,,,,13221727
https://github.com/pydata/xarray/releases/tag/v0.7.1,3808930,2443309,MDc6UmVsZWFzZTM4MDg5MzA=,v0.7.1,main,v0.7.1,0,0,2016-02-17T07:16:00Z,2016-08-04T03:43:28Z,,,,13221727
https://github.com/pydata/xarray/releases/tag/v0.7.0,3808927,2443309,MDc6UmVsZWFzZTM4MDg5Mjc=,v0.7.0,main,v0.7.0,0,0,2016-01-22T02:02:32Z,2016-08-04T03:43:02Z,,,,13221727
https://github.com/pydata/xarray/releases/tag/v0.6.1,2011555,2443309,MDc6UmVsZWFzZTIwMTE1NTU=,v0.6.1,main,v0.6.1,0,0,2015-10-21T17:07:07Z,2015-10-23T22:29:44Z,"This release contains a number of bug and compatibility fixes, as well as enhancements to plotting, indexing and writing files to disk.

Note that the minimum required version of dask for use with xray is now version 0.6.
- Faceted plotting through `FacetGrid` and the `plot()` method. See [Faceting](http://xray.readthedocs.org/en/latest/plotting.html#plotting-faceting) for more details and examples.
- `sel()` and `reindex()` now support the tolerance argument for controlling nearest-neighbor selection ([GH629](https://github.com/xray/xray/pull/629)). This feature requires pandas v0.17 or newer.
- New `encoding` argument in `to_netcdf()` for writing netCDF files with compression, as described in the new documentation section on [Writing encoded data](http://xray.readthedocs.org/en/latest/io.html#io-netcdf-writing-encoded).
- Add `real` and `imag` attributes to `Datase`t and `DataArray` ([GH553](https://github.com/xray/xray/issues/553)).
- More informative error message with `from_dataframe()` if the frame has duplicate columns.
- xray now uses deterministic names for dask arrays it creates or opens from disk. This allows xray users to take advantage of dask’s nascent support for caching intermediate computation results. See [GH555](https://github.com/xray/xray/pull/555) for an example.
- Compatibility with Python 3.5 ([GH583](https://github.com/xray/xray/pull/583)).
- Compatibility with pandas 0.17 ([GH569](https://github.com/xray/xray/pull/569)).
- Compatability with numpy 1.10 ([GH618](https://github.com/xray/xray/pull/618)).

See the [What's New](http://xray.readthedocs.org/en/stable/whats-new.html) page for more information.  Please report any issues [here](https://github.com/xray/xray/issues).

You an install the latest version of xray via `conda`:

`conda install xray`

or via `pip`:

`pip install xray`
",,,13221727