releases: 2011555

This data as json

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/v0.6.1	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 for more details and examples. - `sel()` and `reindex()` now support the tolerance argument for controlling nearest-neighbor selection (GH629). 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. - Add `real` and `imag` attributes to `Datase`t and `DataArray` (GH553). - 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 for an example. - Compatibility with Python 3.5 (GH583). - Compatibility with pandas 0.17 (GH569). - Compatability with numpy 1.10 (GH618). See the What's New page for more information. Please report any issues here. You an install the latest version of xray via `conda`: `conda install xray` or via `pip`: `pip install xray`			13221727