plot map from gpx files

plotter.py

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+import pandas as pd
+import gpxpy
+import folium
+from glob import glob
+
+
+def load_data_records():
+    df = pd.read_csv("./records.csv")
+
+    #df = df[(df.latitude != pd.NA) & (df.longitude != pd.NA)]
+    df = df.dropna(subset=['latitude', 'longitude'])
+    df.timestamp = pd.to_datetime(df.timestamp, format="%Y-%m-%d %H:%M:%S %Z")
+    print(df)
+    return df
+
+def load_data_gpx():
+    lats = []
+    longs = []
+    timestamps = []
+    courses = []
+    speeds = []
+    gpx_files = sorted(glob("./gpx_files/*.gpx"))
+
+    for file in gpx_files:
+        print(f" + Loading GPX file {file}")
+        data = gpxpy.parse(open(file,"r"))
+        for track in data.tracks:
+            for segment in track.segments:
+                for p in segment.points:
+                    lats.append(p.latitude)
+                    longs.append(p.longitude)
+                    timestamps.append(p.time)
+                    courses.append(p.course)
+                    speeds.append(p.speed)
+
+
+    df = pd.DataFrame({"latitude":lats,
+                       "longitude":longs,
+                       "course":courses,
+                       "speed":speeds})
+
+    return df
+    
+
+def find_stops(df):
+    """Get groups of consecutive positions unchanged for 4+ hours"""
+    stops = []
+    
+    lc_row = df.iloc[0]
+    
+    current_group = [0]
+    for i in range(1,len(df)):
+        row = df.iloc[i]
+        if (row.latitude == lc_row.latitude) and (row.longitude == lc_row.longitude):
+            current_group.append(i)
+            #print(f"added position {i} to the current group")
+        else:
+            #print(f"position changed")
+            if len(current_group) > 1:
+                delta = df.iloc[current_group[-1]].timestamp - df.iloc[current_group[0]].timestamp
+                #print(delta)
+                if delta > pd.Timedelta(value=4, unit="h"):
+                    
+                    stops.append(current_group)
+                    #print(f"added current group to stops")
+            current_group = [i]
+            lc_row = df.iloc[i]
+
+    return stops
+
+def plot_map(df):
+    decimation = 1
+
+    m = folium.Map(location=(df.latitude.iloc[0], df.longitude.iloc[0]),
+                   zoom_start=12,
+                   tiles='OpenStreetMap')
+
+    folium.Marker([df.latitude.iloc[0], df.longitude.iloc[0]],
+              popup='Mouillage',
+                  icon=folium.Icon(icon='anchor',prefix="fa")).add_to(m)
+
+    folium.PolyLine(
+            locations=df[['latitude', 'longitude']].values[::decimation].tolist(),
+        color='blue',
+        weight=3,
+        opacity=0.8
+    ).add_to(m)
+
+    m.save('my_map.html')
+
+
+df = load_data_gpx()
+plot_map(df)

requirements.txt

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+folium
+gpxpy