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#!/usr/bin/env python3
#
# Copyright (c) 2016 Aaron LI
# MIT license
#
# Extract the surface brightness concentration (i.e., C_{SB}) results.
#
# Created: 2016-04-29
#
import sys
import json
import csv
import argparse
from collections import OrderedDict
def extract_csb(data):
"""
Extract the surface brightness concentration results
from the "data" dictionary.
"""
results = OrderedDict([
("name", data["name"]),
("obsid", data["obsid"]),
("csb_type", data["csb_type"]),
("csb_r1", data["csb_r1"]),
("csb_r2", data["csb_r2"]),
("csb_s1", data["csb_s1"]),
("csb_s1_err", data["csb_s1_err"]),
("csb_s2", data["csb_s2"]),
("csb_s2_err", data["csb_s2_err"]),
("csb", data["csb"]),
("csb_err", data["csb_err"]),
("csb_region", data["csb_region"]),
])
return results
def main():
parser = argparse.ArgumentParser(
description="Extract surface brightness concentration results")
parser.add_argument("csb_json", help="json file conatins C_SB results")
args = parser.parse_args()
csb_data = json.load(open(args.csb_json))
results = extract_csb(csb_data)
# output results
csv_writer = csv.writer(sys.stdout)
csv_writer.writerow(results.keys())
csv_writer.writerow(results.values())
if __name__ == "__main__":
main()
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