from __future__ import absolute_import, division, print_function, \
unicode_literals
import numpy
import netCDF4
from datetime import datetime
import sys
[docs]def write_netcdf(ds, fileName, fillValues=netCDF4.default_fillvals,
format='NETCDF3_64BIT', char_dim_name='StrLen'):
"""
Write an xarray.Dataset to a file with NetCDF4 fill values and the given
name of the string dimension. Also adds the time and command-line to the
history attribute.
Parameters
----------
ds : xarray.Dataset
The dataset to save
fileName : str
The path for the NetCDF file to write
fillValues : dict, optional
A dictionary of fill values for different NetCDF types
format : {'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT',
'NETCDF3_CLASSIC'}, optional
The NetCDF file format to use
char_dim_name : str, optional
The name of the dimension used for character strings, or None to let
xarray figure this out.
"""
encodingDict = {}
variableNames = list(ds.data_vars.keys()) + list(ds.coords.keys())
for variableName in variableNames:
isNumeric = numpy.issubdtype(ds[variableName].dtype, numpy.number)
if isNumeric and numpy.any(numpy.isnan(ds[variableName])):
dtype = ds[variableName].dtype
for fillType in fillValues:
if dtype == numpy.dtype(fillType):
encodingDict[variableName] = \
{'_FillValue': fillValues[fillType]}
break
else:
encodingDict[variableName] = {'_FillValue': None}
isString = numpy.issubdtype(ds[variableName].dtype, numpy.string_)
if isString and char_dim_name is not None:
encodingDict[variableName] = {'char_dim_name': char_dim_name}
update_history(ds)
ds.to_netcdf(fileName, encoding=encodingDict, format=format)
def update_history(ds):
'''Add or append history to attributes of a data set'''
thiscommand = datetime.now().strftime("%a %b %d %H:%M:%S %Y") + ": " + \
" ".join(sys.argv[:])
if 'history' in ds.attrs:
newhist = '\n'.join([thiscommand, ds.attrs['history']])
else:
newhist = thiscommand
ds.attrs['history'] = newhist