kml基础库7

geopy 使 Python 开发人员可以使用第三方地理编码器和其他数据源轻松定位全球地址、城市、国家和地标的坐标

pip install geopy 

计算两个坐标的直线距离

from geopy.distance import geodesic  print(geodesic((25.033565,121.5647882), (25.036234628082, 121.55669215271)).m) print(geodesic((25.033565,121.5647882), (25.036234628082, 121.55669215271)).km)  868.9355008854188 0.8689355008854188 

polycircles

pip install polycircles 

具有 36 顶点的多边形看起来像一个圆形 from polycircles import polycircles  polycircle = polycircles.Polycircle(  latitude=40.768085,  longitude=-73.981885,  radius=200,  number_of_vertices=36 )  kml = simplekml.Kml() pol = kml.newpolygon(name="Columbus Circle, Manhattan", outerboundaryis=polycircle.to_kml()) pol.style.polystyle.color = simplekml.Color.changealphaint(200, simplekml.Color.green)  kml.save("test_kml_polygon_3_manhattan.kml")  
kml = simplekml.Kml()

outer_polycircle = polycircles.Polycircle(
	latitude=40.768085, longitude=-73.981885, radius=200, number_of_vertices=36
	)
inner_polycircle = polycircles.Polycircle(
	latitude=40.768085, longitude=-73.981885, radius=180, number_of_vertices=36
)

pol = kml.newpolygon(
	name="Torus around Columbus Circle, Manhattan",
	outerboundaryis=outer_polycircle.to_kml(),
	innerboundaryis=inner_polycircle.to_kml()
)
pol.style.polystyle.color = simplekml.Color.changealphaint(200, simplekml.Color.red)
kml.save("test_kml_polygon_2_torus_manhattan.kml")
 
经纬度点序列  polycircles可以简单地为任何非 KML 使用生成一系列 lat-lon 元组
import pprint
from polycircles import polycircles
polycircle = polycircles.Polycircle(latitude=32.074523,
longitude=34.791469,
radius=20,
number_of_vertices=12)
pprint.pprint(polycircle.to_lat_lon())
((32.07470336197859, 34.791469),
(32.074679198011374, 34.7915749137218),

(32.074613180857156, 34.79128555218445),
(32.074679198011374, 34.791363086278196))