MONET-v2.2.2

This includes minor big fixes and updates.

• Updates the quick_map function to better handle global datasets
• Updates quick_imshow to properly work with datasets
• Adds a quick_contourf functionality similar to quick_map or quick_imshow
• Adds a roll_dateline option to the quick view plotting functions for datasets that go from 0 -> 360 and not -180 -> 180
• various other minor fixes

MONET-v2.2.1

This is a minor release that fixes some bugs introduced in the MONET-v2.2.0 release.

A few new functions have been added to the Monet-accessor

• added some functions to try and help tidy the data for plotting and monet
  = tidy
  = wrap_longitudes
• fixed remap_xesmf
• added a new plotting too, quick_imshow. This can be significantly faster than quick_map but is only useful for regular grids
• more minor bug fixes

MONET-v2.2.0

This release provides several major updates:

• Removes many I/O functions into a new repository, https://github.com/noaa-oar-arl/monetio, so that MONET can stay lean and focused.
• Adds pyresample back as the default restructure because esmpy and xesmf is not available on windows
• Adds some default functionality to read common data formats like netCDF CF convention with XArray but still have the monet accessor options
• Adds a conversion from cftime to datetime xarray objects
• fixes the quick_map xarray.DataArray accessor so that it will work on generic netcdf files in the CF convention
• Adds a pandas accessor to gain functionality for use with surface observational datasets
• Adds a function to convert monetio dataframes into little_r formatted lists or pandas data frames for use in METplus
• removes the hysplitutil directory as this will be migrating to a new repository focused on hysplit
• many bug fixes for accessor functionality

v2.1.2

Delete requirements.txt

MONET v2.0

This is a major upgrade for MONET. We have improved and added more measurements, included vertical interpolation, spatial interpolation, spatial grid information and more utility functions for non-point observations and models through the use of a XArray accessor.

The Model and ObservatioN Evaluation Toolkit (MONET)

v1.0

Update setup.py