def main():
parser = argparse.ArgumentParser()
parser.add_argument('input_files', nargs='+', help="""
The input data files in NetCDF format. These files can
be given in any order. They MUST appear before any other
arguments/options.""")
parser.add_argument('output_file', default='ocean_monthly.nc', help="""
The name of the output file.""")
parser.add_argument('--overall_mean_file', default=None, help="""
Calculate the overall mean and save with the given
file name. This is the same as executing ncra
<output_file> <overall_mean_file>. This command
uses a lot less memory than ncra - it loads one
variable into memory at a time.""")
parser.add_argument('--vars', default=['temp', 'dzt'], nargs='+',
help='A list of the variables to average.')
args = parser.parse_args()
# Create the output file by copying accross variables from one of
# the inputs.
other_vars = ['geolat_t', 'geolat_c', 'geolon_t', 'geolon_c', 'time_bounds']
create_output_file(args.input_files[0], other_vars + args.vars, args.output_file)
calc_monthly_mean(args.input_files, args.vars, args.output_file)
update_file_history(args.output_file, ' '.join(sys.argv))
if args.overall_mean_file:
create_output_file(args.input_files[0], other_vars + args.vars,
args.overall_mean_file)
calc_overall_mean([args.output_file], args.vars, args.overall_mean_file)
update_file_history(args.overall_mean_file, ' '.join(sys.argv))
return 0
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"input_files",
nargs="+",
help="""
The input data files in NetCDF format. These files can
be given in any order. They MUST appear before any other
arguments/options.""",
)
parser.add_argument(
"output_file",
default="ocean_monthly.nc",
help="""
The name of the output file.""",
)
parser.add_argument("--vars", default=["temp", "dzt"], nargs="+", help="A list of the variables to average.")
parser.add_argument(
"--overall_mean_file",
default=None,
help="""
Calculate the overall mean and save with the given
file name. This is the same as executing ncra
<output_file> <overall_mean_file>. This command
uses a lot less memory than ncra - it loads one
variable into memory at a time.""",
)
args = parser.parse_args()
ret = mom_monthly_mean(args.input_files, args.output_file, args.vars, args.overall_mean_file)
# Update history
update_file_history(args.output_file, " ".join(sys.argv))
if args.overall_mean_file:
update_file_history(args.overall_mean_file, " ".join(sys.argv))
return ret
def main():
parser = argparse.ArgumentParser()
parser.add_argument('input_files', nargs='+', help="""
The input data files in NetCDF format. These files can
be given in any order. They MUST appear before any other
arguments/options.""")
parser.add_argument('output_file', default='ice_monthly.nc', help="""
The name of the output file.""")
parser.add_argument('--vars', default=None, nargs='+',
help='A list of the variables to average.')
parser.add_argument('--copy_vars', default=[], nargs='+',
help="""A list of the variables copy across but not
included in the averaging.""")
args = parser.parse_args()
create_output_file(args.input_files[0], args.vars + args.copy_vars,
args.output_file)
calc_monthly_mean(args.input_files, args.vars, args.output_file)
update_file_history(args.output_file, ' '.join(sys.argv))
return 0
