v0.4.0

0.4.0 (01-10-2020)

The git repo is now hosted by pangeo-data (https://github.com/pangeo-data/xESMF)

Breaking changes

• By default, weights are not written to disk, but instead kept in memory.
• Installation requires ESMPy 8.0.0 and up.

New features

• The Regridder object now takes a weights argument accepting a scipy.sparse COO matrix,
  a dictionary, an xarray.Dataset, or a path to a netCDF file created by ESMF. If None, weights
  are computed and can be written to disk using the to_netcdf method. This weights parameter
  replaces the filename and reuse_weights arguments, which are preserved for backward compatibility (#3).
  By @huard and @raphaeldussin
• Added documentation discussion how to compute weights from a shell using MPI, and reuse from xESMF (#12 ).
  By @raphaeldussin
• Add support for masks in :py:funcesmf_grid. This avoid NaNs to bleed into the interpolated values.
  When using a mask and the conservative regridding method, use a new method called
  conservative_normed to properly handle normalization (#1 ).
  By @raphaeldussin