- 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.

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