def output_init(self):
'''Initialize netCDF4 output file
Creates an empty netCDF4 output file with the necessary
dimensions, variables, attributes and coordinate reference
system specification (crs).
'''
outputfile = self.engine.get_config_value('netcdf', 'outputfile')
outputvars = self.engine.get_config_value('netcdf', 'outputvars')
attributes = self.engine.get_config_value('netcdf', 'attributes')
crs = self.engine.get_config_value('netcdf', 'crs')
if outputfile is not None and outputvars is not None:
if not self.restart or not os.path.exists(outputfile):
logger.debug('Initializing output...')
# get dimension names for each variable
variables = {
v : { 'dimensions' : self.engine.get_dimensions(v) }
for v in outputvars
}
for v in variables.iterkeys():
logger.info('Creating netCDF output for "%s"' % v)
netcdf.initialize(outputfile,
self.read_dimensions(),
variables=variables,
attributes=attributes,
crs=crs)
def output_init(self):
'''Initialize netCDF4 output file
Creates an empty netCDF4 output file with the necessary
dimensions, variables, attributes and coordinate reference
system specification (crs).
'''
if self.engine.config.has_key('netcdf'):
logger.debug('Initializing output...')
cfg = self.engine.config['netcdf']
# get dimension names for each variable
variables = {
v : { 'dimensions' : self.engine.get_dimensions(v) }
for v in cfg['outputvars']
}
netcdf.initialize(cfg['outputfile'],
self.read_dimensions(),
variables=variables,
attributes=cfg['attributes'],
crs=cfg['crs'])
self.iout = 0
def output_init(self):
'''Initialize netCDF4 output file
Creates an empty netCDF4 output file with the necessary
dimensions, variables, attributes and coordinate reference
system specification (crs).
'''
outputfile = self.engine.get_config_value('netcdf', 'outputfile')
outputvars = self.engine.get_config_value('netcdf', 'outputvars')
attributes = self.engine.get_config_value('netcdf', 'attributes')
crs = self.engine.get_config_value('netcdf', 'crs')
# add zb difference variables
outputvars.append(u'difference_zb_aeolis')
outputvars.append(u'difference_zb_xbeach')
if outputfile is not None and outputvars is not None:
if not self.restart or not os.path.exists(outputfile):
logger.debug('Initializing output...')
# get dimension names for each variable
variables = {
v: {'dimensions': self.engine.get_dimensions(v)}
for v in outputvars
}
# remove from outputvars, later calculated separately:
outputvars.remove(u'difference_zb_aeolis')
outputvars.remove(u'difference_zb_xbeach')
for v in variables.iterkeys():
logger.info('Creating netCDF output for "%s"' % v)
netcdf.initialize(outputfile,
self.read_dimensions(),
variables=variables,
attributes=attributes,
crs=crs)
