python 笔记 haversine (两个经纬度坐标之间的距离) | 您所在的位置:网站首页 › 怎么用have › python 笔记 haversine (两个经纬度坐标之间的距离) |
1 安装包
pip install haversine
2 haversine:计算两个点经纬度之间的距离
from haversine import haversine
lyon = (45.7597, 4.8422)
paris = (48.8567, 2.3508)
haversine(lyon, paris)
#392.2172595594006 默认是公里
haversine(lyon, paris, unit=Unit.MILES)
#单位设置为英里
#243.71250609539814
haversine(lyon, paris, unit='mi')
#243.71250609539814
3 Unit——支持的所有单位
from haversine import Unit
tuple(Unit)
'''
(,
,
,
,
,
,
,
)
'''
4 inverse haversine
从给定的向量(距离和方向)和起点计算点。 目前明确支持(北,东,南,西)和(东北,东南,西南,西北)方向。但也允许以弧度表示的角度。 from haversine import inverse_haversine, Direction from math import pi paris = (48.8567, 2.3508) # (lat, lon) inverse_haversine(paris, 32, Direction.WEST) #(48.85587279023947, 1.9134085092836945) inverse_haversine(paris, 50, Direction.NORTH, unit=Unit.MILES) #(49.58035791599536, 2.3508 inverse_haversine(paris, 32, pi * 1.25) #(48.65279552300661, 2.0427666779658806) 5 haversine_vector from haversine import haversine_vector, Unit lyon = (45.7597, 4.8422) # (lat, lon) paris = (48.8567, 2.3508) new_york = (40.7033962, -74.2351462) haversine_vector([lyon, lyon,lyon], [paris, new_york,lyon], Unit.KILOMETERS) #array([ 392.21725956, 6163.43638211, 0. ]) #分别是 lyon-paris,lyon-new_york,lyon-lyon的距离 5.1 comb=True from haversine import haversine_vector, Unit lyon = (45.7597, 4.8422) # (lat, lon) london = (51.509865, -0.118092) paris = (48.8567, 2.3508) new_york = (40.7033962, -74.2351462) haversine_vector([lyon, london], [paris, new_york], Unit.KILOMETERS, comb=True) ''' array([[ 392.21725956, 343.37455271], [6163.43638211, 5586.48447423]]) '''
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