Tue, 07 Nov 2017 17:24:33 +0200
Typo
""" Sample script to convert licel files to SCC netcdf format. The script assumes the following things: 1. You have already installed the atmospheric_lidar module (e.g. using pip). 2. You have create a class in a file "lilas" describing your system (described the readme file). If you want to use it for a different system you need to change the script to use your own class Run the script using: python convert_lilas.py <your options> Examples -------- # This will read all files starting with "l" from "my_dir". # It will guess the measurement ID based on the date of the files, and will assume measurement number 00. # For example, the new measurment id could be 20120101mb00 python convert_lilas.py my_dir l*. # This will use the measurement id you defined. python convert_lilas.py my_dir l*. -m 20120204mb32 # It will create the file 20120204mb32.nc Help string ----------- # To get this, run: python convert_lilas.py -h usage: convert_lilas.py [-h] [-m MEASUREMENT_ID] [-n MEASUREMENT_NUMBER] [directory] [searchstring] positional arguments: directory Directory with licel files. searchstring Processing system id. optional arguments: -h, --help show this help message and exit -m MEASUREMENT_ID, --measurement_id MEASUREMENT_ID The new measurement id -n MEASUREMENT_NUMBER, --measurement_number MEASUREMENT_NUMBER The measurement number for the date, if no id is provided """ import glob import os import argparse from atmospheric_lidar import lilas if __name__ == "__main__": # Define the command line arguments. parser = argparse.ArgumentParser() parser.add_argument("directory", nargs='?', help="Directory with licel files.", default='.') parser.add_argument("searchstring", nargs='?', help="Processing system id.", default="*.*") parser.add_argument("-m", "--measurement_id", help="The new measurement id", default=None) parser.add_argument("-n", "--measurement_number", help="The measurement number for the date, if no id is provided", default="00") args = parser.parse_args() # Get a list of files to convert search_str = os.path.join(args.directory, args.searchstring) files = glob.glob(search_str) if files: # Read the files print "Reading {0} files from {1}".format(len(files), args.directory) measurement = lilas.LilasLidarMeasurement(files) #Save the netcdf print "Saving netcdf." measurement.set_measurement_id(args.measurement_id, args.measurement_number) measurement.save_as_netcdf() print "Created file ", measurement.scc_filename else: print "No files found when searching for ", search_str