- update to version 0.11.0
* Enhancements
+ xarray.DataArray.plot.line() can now accept multidimensional
coordinate variables as input. hue must be a dimension name
in this case. (GH2407) By Deepak Cherian.
+ Added support for Python 3.7. (GH2271). By Joe Hamman.
+ Added support for plotting data with pandas.Interval coordinates,
such as those created by groupby_bins() By Maximilian Maahn.
+ Added shift() for shifting the values of a CFTimeIndex by a
specified frequency. (GH2244). By Spencer Clark.
+ Added support for using cftime.datetime coordinates with
differentiate(), differentiate(), interp(), and interp().
By Spencer Clark
+ There is now a global option to either always keep or always
discard dataset and dataarray attrs upon operations. The option
is set with xarray.set_options(keep_attrs=True), and the default
is to use the old behaviour. By Tom Nicholas.
+ Added a new backend for the GRIB file format based on ECMWF
cfgrib python driver and ecCodes C-library. (GH2475) By
Alessandro Amici, sponsored by ECMWF.
+ Resample now supports a dictionary mapping from dimension to
frequency as its first argument, e.g.,
data.resample({'time': '1D'}).mean(). This is consistent with
other xarray functions that accept either dictionaries or
keyword arguments. By Stephan Hoyer.
+ The preferred way to access tutorial data is now to load it
lazily with xarray.tutorial.open_dataset().
xarray.tutorial.load_dataset() calls Dataset.load() prior to
returning (and is now deprecated). This was changed in order
to facilitate using tutorial datasets with dask. By Joe Hamman.