Folium map plot

runmap.py

import folium
import pandas as pd
from folium.plugins import MarkerCluster

# Load the CSV file into a Pandas DataFrame
csv_file = 'sl4.csv'  # Replace with your CSV file path
data = pd.read_csv(csv_file)

# Initialize a Folium map centered on the average latitude and longitude
average_latitude = data['latitude'].mean()
average_longitude = data['longitude'].mean()
map_center = [average_latitude, average_longitude]
mymap = folium.Map(location=map_center, zoom_start=6)

# Add marker clustering
marker_cluster = MarkerCluster().add_to(mymap)

# Iterate through the data and add points to the map
for index, row in data.iterrows():
    latitude = row['latitude']
    longitude = row['longitude']
    datetime_value = row['datetime']
    popup_text = (
        f"Date/Time: {datetime_value}<br>Latitude: {latitude}<br>Longitude: {longitude}"
    )

    # Add marker to the cluster
    folium.Marker(location=[latitude, longitude], popup=popup_text).add_to(marker_cluster)

# Save the map to an HTML file
output_html = 'map.html'  # The output HTML file
mymap.save(output_html)
print(f"Map has been saved to {output_html}")