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import pandas as pd
from keplergl import KeplerGl
import json

# 加载无人机飞行数据
flight_data = pd.read_csv('drone_flights.csv')

# 创建Kepler.gl地图实例
map_3d = KeplerGl(height=600)

# 添加数据层
map_3d.add_data(data=flight_data, name='无人机飞行轨迹')

# 配置热力图层
config = {
    'version': 'v1',
    'config': {
        'visState': {
            'layers': [{
                'type': 'hexagonId',
                'config': {
                    'dataId': '无人机飞行轨迹',
                    'label': '热力热点',
                    'columns': {'lat': 'latitude', 'lng': 'longitude', 'altitude': 'height'},
                    'visConfig': {
                        'opacity': 0.8,
                        'colorRange': {'name': 'Global Warming'},
                        'radius': 200,
                        'coverage': 0.7,
                        'elevationScale': 5
                    }
                }
            }]
        }
    }
}

# 应用配置并保存为HTML
map_3d.config = config
map_3d.save_to_html(file_name='drone_airspace_heatmap.html')