commuter_location_coordinates

import pandas as pd
import folium

# Assuming you have a dataset with columns: 'Latitude', 'Longitude', 'Concentration'
df_map = pd.read_csv(' ')

# Create a folium map centered at the mean latitude and longitude
map_center = [df_map['LATITUDE'].mean(), df_map['LONGITUDE'].mean()]
chemical_map = folium.Map(location=map_center, zoom_start=10)

# Starting and ending coordinates
start_coord = [xxxx, xxxx]
end_coord = [xxxx, xxxx]

# Initialize a list to store coordinates for the trail
trail_coordinates = [start_coord]

# Add markers for each data point (chemical concentration) on the map
for index, row in df_map.iterrows():
    coord = [row['LATITUDE'], row['LONGITUDE']]

    # Add the coordinates to the trail
    trail_coordinates.append(coord)

    folium.CircleMarker(location=coord,
                        radius=5,
                        color='lightgreen',
                        fill=True,
                        fill_color='green',
                        fill_opacity=0.7,
                        popup=f"CONCENTRATION: {row['CONCENTRATION']}"
                        ).add_to(chemical_map)

# Add the ending coordinates to the trail
trail_coordinates.append(end_coord)

# Add the trail to the map
folium.PolyLine(locations=trail_coordinates, color='darkblue', weight=2.5, opacity=1).add_to(chemical_map)

# Save or display the map
chemical_map.save('xxxx.html')
chemical_map