1 files changed, 85 insertions, 0 deletions
diff --git a/datasets/lga_passengers/convert.py b/datasets/lga_passengers/convert.py
new file mode 100644
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+++ b/datasets/lga_passengers/convert.py
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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"])
+
+    lgas = [it for it in items if it["Airport Code"] == "LGA"]
+    pairs = [(it["time"], it["value"]) for it in lgas]
+    # with this date format string sort is date sort
+    pairs.sort()
+
+    name = "lga_passengers"
+    longname = "LaGuardia 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()