Dataset.to_netcdf(path=None, mode='w', format=None, group=None, engine=None)

Write dataset contents to a netCDF file.


path : str, optional

Path to which to save this dataset. If no path is provided, this function returns the resulting netCDF file as a bytes object; in this case, we need to use scipy.io.netcdf, which does not support netCDF version 4 (the default format becomes NETCDF3_64BIT).

mode : {‘w’, ‘a’}, optional

Write (‘w’) or append (‘a’) mode. If mode=’w’, any existing file at this location will be overwritten.

format : {‘NETCDF4’, ‘NETCDF4_CLASSIC’, ‘NETCDF3_64BIT’, ‘NETCDF3_CLASSIC’}, optional

File format for the resulting netCDF file:

  • NETCDF4: Data is stored in an HDF5 file, using netCDF4 API features.
  • NETCDF4_CLASSIC: Data is stored in an HDF5 file, using only netCDF 3 compatibile API features.
  • NETCDF3_64BIT: 64-bit offset version of the netCDF 3 file format, which fully supports 2+ GB files, but is only compatible with clients linked against netCDF version 3.6.0 or later.
  • NETCDF3_CLASSIC: The classic netCDF 3 file format. It does not handle 2+ GB files very well.

All formats are supported by the netCDF4-python library. scipy.io.netcdf only supports the last two formats.

The default format is NETCDF4 if you are saving a file to disk and have the netCDF4-python library available. Otherwise, xray falls back to using scipy to write netCDF files and defaults to the NETCDF3_64BIT format (scipy does not support netCDF4).

group : str, optional

Path to the netCDF4 group in the given file to open (only works for format=’NETCDF4’). The group(s) will be created if necessary.

engine : {‘netcdf4’, ‘scipy’, ‘h5netcdf’}, optional

Engine to use when writing netCDF files. If not provided, the default engine is chosen based on available dependencies, with a preference for ‘netcdf4’ if writing to a file on disk.