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import matplotlib.pyplot as plt
import contextily as ctx

fig = plt.figure(figsize=(20,20))
ax = plt.axes()
gdf[gdf.gps_qual > 0].plot(ax=ax, alpha=.2, edgecolor="#ffff", color='red')
ctx.add_basemap(ax, source=ctx.providers.Stamen.TonerLite, crs="EPSG:4326", alpha=.3)

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import pandas as pd
import geopandas as gpd

df = pd.DataFrame(coordinates_data)
gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude, crs="EPSG:4326"))
gdf

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import pynmea2

nmea_data = open("data/gps_data_20220215-070028.nmea", "rb")

coordinates_data = []

for message_bytes in nmea_data.readlines():    
    try:
        message = message_bytes.decode("utf-8").replace("\n", "").replace("\r", "")
        parsed_message = pynmea2.parse(message)

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import pynmea2

nmea_data = open("data/gps_data_20220215-070028.nmea", "rb")
for message_bytes in nmea_data.readlines()[:10]: # read first 10 messages from file
    try:
        message = message_bytes.decode("utf-8").replace("\n", "").replace("\r", "")
        parsed_message = pynmea2.parse(message)
    except:
        # skip invalid messages
        continue

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import serial
import datetime

ser = serial.Serial("/dev/cu.usbserial-0001", baudrate=9600)
ser.flushInput()
ser.flushOutput()
idx = 0

nmea_data = b""

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bbb

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import datetime
import exifread
import glob
import sys
import os
import shutil
import fractions
import pyexiv2

from geopy.distance import vincenty

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Readme

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/*

  OpenLayers.js -- OpenLayers Map Viewer Library

  Copyright (c) 2006-2012 by OpenLayers Contributors
  Published under the 2-clause BSD license.
  See http://openlayers.org/dev/license.txt for the full text of the license, and http://openlayers.org/dev/authors.txt for full list of contributors.

  Includes compressed code under the following licenses:

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test