Sample program for drone world graph: 

import pandas as pd 
import city2graph as c2g 
from city2graph.graph import GraphBuilder 
from city2graph.utils import parse_location 
 
# Load the CSV file 
df = pd.read_csv("drone_objects.csv") 
 
# Parse location into coordinates (assuming location is in "lat,lon" format) 
df[['lat', 'lon']] = df['location'].apply(lambda loc: pd.Series(parse_location(loc))) 
 
# Initialize the graph builder 
builder = GraphBuilder() 
 
# Add nodes for each object 
for _, row in df.iterrows(): 
    node_id = f"obj_{row['object_id']}_frame_{row['frame_id']}" 
    builder.add_node( 
        node_id, 
        timestamp=row['timestamp'], 
        location=(row['lat'], row['lon']), 
        created=row['created'] 
    ) 
 
# Optional: Add edges based on spatial proximity (within 50 meters) or temporal continuity 
builder.connect_nodes_by_proximity(max_distance=50)  # meters 
builder.connect_nodes_by_sequence(time_window=5)     # seconds 
 
# Build the graph 
graph = builder.build() 
 
# Visualize or export the graph 
graph.plot(title="Drone Object Detection Graph") 
# graph.export("drone_graph.gml")  # Optional export