langspielplatte/measurement-scripts
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Adds support for negative time offset in gps timestamp.

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This commit is contained in:
Lukas Prause
2023-06-27 14:14:44 +02:00
parent f276dbd242
commit 6f1f5afa07
1 changed files with 6 additions and 5 deletions
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11
calc_gps_map_csv.py
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@@ -51,7 +51,8 @@ if __name__ == "__main__":
parser.add_argument("-s", "--serial_file", required=True, help="Serial csv file.") parser.add_argument("-s", "--serial_file", required=True, help="Serial csv file.")
parser.add_argument("-p", "--pcap_csv_folder", required=True, help="PCAP csv folder.") parser.add_argument("-p", "--pcap_csv_folder", required=True, help="PCAP csv folder.")
parser.add_argument("--save", default=None, help="Location to save pdf file.") parser.add_argument("--save", default=None, help="Location to save pdf file.")
parser.add_argument("--time_offset", default=None, type=int, help="Minutes added to GPS datetime.") parser.add_argument("--time_offset", default=0, type=int, help="Minutes added to GPS datetime.")
parser.add_argument("--neg_offset", default=False, action="store_true", help="Subtract GPS time offset.")
parser.add_argument( parser.add_argument(
"-c", "-c",
"--cores", "--cores",
@@ -131,11 +132,11 @@ if __name__ == "__main__":
# load dataframe an put it into geopandas # load dataframe an put it into geopandas
df = pd.read_csv(args.gps_file) df = pd.read_csv(args.gps_file)
df["kmh"] = df["speed (knots)"].apply(lambda x: x * 1.852) df["kmh"] = df["speed (knots)"].apply(lambda x: x * 1.852)
if args.time_offset is not None: if args.time_offset > 0:
if args.time_offset > 0: if args.neg_offset:
df["datetime"] = pd.to_datetime(df["datetime"]) + pd.Timedelta(minutes=abs(args.time_offset)) df["datetime"] = pd.to_datetime(df["datetime"]) - pd.Timedelta(minutes=args.time_offset)
else: else:
df["datetime"] = pd.to_datetime(df["datetime"]) - pd.Timedelta(minutes=abs(args.time_offset)) df["datetime"] = pd.to_datetime(df["datetime"]) + pd.Timedelta(minutes=args.time_offset)
else: else:
df["datetime"] = pd.to_datetime(df["datetime"]) df["datetime"] = pd.to_datetime(df["datetime"])
df = df.set_index("datetime") df = df.set_index("datetime")