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