releases: 647493

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/v0.3.1	647493	1217238	MDc6UmVsZWFzZTY0NzQ5Mw==	v0.3.1	main		0	0	2014-10-23T05:54:51Z	2014-10-23T06:31:30Z	This is mostly a bug-fix release to make xray compatible with the latest release of pandas (v0.15). We added several features to better support working with missing values and exporting xray objects to pandas. We also reorganized the internal API for serializing and deserializing datasets, but this change should be almost entirely transparent to users. Other than breaking the experimental DataStore API, there should be no backwards incompatible changes. New features: - Added `count` and `dropna` methods, copied from pandas, for working with missing values. - Added `DataArray.to_pandas` for converting a data array into the pandas object with the same dimensionality (1D to Series, 2D to DataFrame, etc.). - Support for reading gzipped netCDF3 files. - Reduced memory usage when writing netCDF files. - 'missing_value' is now supported as an alias for the '_FillValue' attribute on netCDF variables. - Trivial indexes, equivalent to `range(n)` where `n` is the length of the dimension, are no longer written to disk. Bug fixes: - Compatibility fixes for pandas v0.15. - Fixes for display and indexing of `NaT` (not-a-time). - Fix slicing by label was an argument is a data array. - Test data is now shipped with the source distribution. - Ensure order does not matter when doing arithmetic with scalar data arrays. - Order of dimensions preserved with `DataArray.to_dataframe`.			13221727