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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dataset conversion script
Author: Gertjan van den Burg
"""
import json
import argparse
import clevercsv
def reformat_time(mmmyy):
""" From MMM-YY to %Y-%m """
MONTHS = {
"Jan": 1,
"Feb": 2,
"Mar": 3,
"Apr": 4,
"May": 5,
"Jun": 6,
"Jul": 7,
"Aug": 8,
"Sep": 9,
"Oct": 10,
"Nov": 11,
"Dec": 12,
}
mmm, yy = mmmyy.split("-")
Y = int(yy) + 2000
m = MONTHS.get(mmm)
return "%i-%02i" % (Y, m)
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("input_file", help="File to convert")
parser.add_argument("output_file", help="File to write to")
return parser.parse_args()
def main():
args = parse_args()
with open(args.input_file, "r", newline="", encoding="ascii") as fp:
reader = clevercsv.reader(
fp, delimiter=",", quotechar="", escapechar=""
)
rows = list(reader)
rows.pop(0)
time = [reformat_time(r[0]) for r in rows]
values = [int(r[-1]) for r in rows]
# Manually split Jan-08 into two, see readme for details.
jan08idx = time.index("2008-01")
values[jan08idx] /= 2
time.insert(jan08idx + 1, "2008-02")
values.insert(jan08idx + 1, values[jan08idx])
name = "shanghai_license"
longname = "Shanghai License"
time_fmt = "%Y-%m"
series = [{"label": "No. of Applicants", "type": "int", "raw": values}]
data = {
"name": name,
"longname": longname,
"n_obs": len(time),
"n_dim": len(series),
"time": {
"type": "string",
"format": time_fmt,
"index": list(range(len(time))),
"raw": time,
},
"series": series,
}
with open(args.output_file, "w") as fp:
json.dump(data, fp, indent="\t")
if __name__ == "__main__":
main()
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