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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dataset conversion script
Author: G.J.J. van den Burg
"""
import json
import argparse
import clevercsv
def month2index(month):
return {
"Jan": "01",
"Feb": "02",
"Mar": "03",
"Apr": "04",
"May": "05",
"Jun": "06",
"Jul": "07",
"Aug": "08",
"Sep": "09",
"Oct": "10",
"Nov": "11",
"Dec": "12",
}[month]
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.DictReader(
fp, delimiter=",", quotechar="", escapechar=""
)
items = list(reader)
for it in items:
it["time"] = f"{it['Year']}-{month2index(it['Month'])}"
it["value"] = int(it["Total Passengers"])
jfks = [it for it in items if it["Airport Code"] == "JFK"]
pairs = [(it["time"], it["value"]) for it in jfks]
# with this date format string sort is date sort
pairs.sort()
name = "jfk_passengers"
longname = "JFK Passengers"
time_fmt = "%Y-%m"
time = [p[0] for p in pairs]
values = [p[1] for p in pairs]
series = [{"label": "Number of Passengers", "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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