๐บ๏ธ Folium Maps
Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library.
๐ก Quick Tip:
Mastering this concept will significantly boost your Python data science skills!
๐ป Code Example:
import folium from folium.plugins import MarkerCluster # 1. Base map centered over India (Pynfinity HQ) m = folium.Map( location=[20.5937, 78.9629], zoom_start=5, tiles="CartoDB Positron", ) # 2. Tech hubs in India โ Pynfinity user clusters cities = [ {"name": "Bangalore", "lat": 12.9716, "lon": 77.5946, "users": 4500}, {"name": "Hyderabad", "lat": 17.3850, "lon": 78.4867, "users": 3200}, {"name": "Pune", "lat": 18.5204, "lon": 73.8567, "users": 2800}, {"name": "Mumbai", "lat": 19.0760, "lon": 72.8777, "users": 2100}, {"name": "Chennai", "lat": 13.0827, "lon": 80.2707, "users": 1800}, {"name": "Delhi", "lat": 28.6139, "lon": 77.2090, "users": 3100}, {"name": "Kolkata", "lat": 22.5726, "lon": 88.3639, "users": 1500}, ] # 3. MarkerCluster for dense regions cluster = MarkerCluster(name="Pynfinity Users").add_to(m) for city in cities: folium.Marker( location=[city["lat"], city["lon"]], popup=folium.Popup( f"<b>{city['name']}</b><br>Pynfinity Users: {city['users']:,}", max_width=200, ), tooltip=f"{city['name']} โ {city['users']:,} users", icon=folium.Icon(color="blue", icon="graduation-cap", prefix="fa"), ).add_to(cluster) # 4. Circle overlay for top city folium.CircleMarker( location=[12.9716, 77.5946], radius=40, color="#3498db", fill=True, fill_opacity=0.3, popup="Bangalore โ Largest User Base", ).add_to(m) # 5. Layer control folium.LayerControl().add_to(m) m.save("pynfinity_india_map.html") print("Map saved to pynfinity_india_map.html") print(f"Cities mapped: {len(cities)}")
Keep exploring and happy coding! ๐ป
pynfinity
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