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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 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)
# the time format is monthly, so we convert that here
time = [r[2][:-3] for r in rows]
time_fmt = "%Y-%m"
# source is in thousands, so we correct that here
values = [float(r[3]) * 1000 for r in rows]
name = "us_population"
longname = "US Population"
series = [{"label": "Population", "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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