Renames column date_and_time to datetime.

format_gps_to_csv.py

+#!/usr/bin/env python3
+from argparse import ArgumentParser
+from time import sleep
+
+import pandas as pd
+
+import csv
+from datetime import datetime
+import math
+
+if __name__ == "__main__":
+    parser = ArgumentParser()
+    parser.add_argument("-f", "--file", required=True, help="NMEA file.")
+
+    args = parser.parse_args()
+    epoch = datetime.utcfromtimestamp(0)
+
+    outputfile = open(args.file.replace("nmea", "csv"), "w")
+    writer = csv.writer(outputfile, delimiter=",", lineterminator="\n")
+    writer.writerow(
+        ["datetime", "time_epoch", "latitude", "longitude", "speed (knots)", "systime_epoch"]
+    )
+    csv_string = ""
+
+    for line in open(args.file, "r").readlines():
+        if line.startswith("$GPRMC"):
+            row = line.split(",")
+
+            time = row[1]
+            lat = row[3]
+            lat_direction = row[4]
+            lon = row[5]
+            lon_direction = row[6]
+            speed = row[7]
+            date = row[9]
+            systime_epoch = row[13] if len(row) < 14 else 0
+
+            date_and_time = datetime.strptime(date + " " + time, "%d%m%y %H%M%S.%f")
+            time_since_epoch = date_and_time.timestamp()
+            date_and_time = date_and_time.strftime("%y-%m-%d %H:%M:%S.%f")  # [:-3]
+
+            lat = round(math.floor(float(lat) / 100) + (float(lat) % 100) / 60, 6)
+            if lat_direction == "S":
+                lat = lat * -1
+
+            lon = round(math.floor(float(lon) / 100) + (float(lon) % 100) / 60, 6)
+            if lon_direction == "W":
+                lon = lon * -1
+            writer.writerow([date_and_time, time_since_epoch, lat, lon, speed, systime_epoch])
+    outputfile.close()
+    sleep(1)
+
+    gps_df = pd.read_csv(args.file.replace("nmea", "csv"))
+    #gps_df["datetime"] = pd.to_datetime(
+    #    gps_df["systime_epoch"].apply(lambda x: datetime.fromtimestamp(x))
+    #)
+    gps_df.to_csv(args.file.replace("nmea", "csv"))