如何使用 Python 检查 lat/lon 坐标是否在多边形内。 （考虑到大圆圈。）

How to check if a lat/lon coordinate is within a polygon, using Python. (Taking into account the great circle.)

我有这个数据框，其中包含 lat/lon 坐标：

      Lat       Lon
 29.39291 -98.50925
 29.39923 -98.51256
 29.40147 -98.51123
 29.38752 -98.52372
 29.39291 -98.50925
 29.39537 -98.50402
 29.39343 -98.49707
 29.39291 -98.50925
 29.39556 -98.53148

这些是构成多边形的坐标：

       Lat        Lon
 29.392945 -98.507696
 29.406167 -98.509074
 29.407234 -98.517039
 29.391325 -98.517166

我想检查每个坐标（来自第一个数据框）是否在多边形内，使用 Python，并考虑大圆。

预期结果：

      Lat       Lon  Within
 29.39291 -98.50925       1
 29.39923 -98.51256       1
 29.40147 -98.51123       1
 29.38752 -98.52372       0
 29.39291 -98.50925       1
 29.39537 -98.50402       0
 29.39343 -98.49707       0
 29.39291 -98.50925       1
 29.39556 -98.53148       0

从这里 ，假设您的多边形数据框是 df_poly 并且点是 df_points:

from shapely.geometry import Point
from shapely.geometry.polygon import Polygon

polygon = Polygon([tuple(x) for x in df_poly[['Lat', 'Lon']].to_numpy()])
df_points['Within'] = df_points.apply(lambda x: polygon.contains(Point(x['Lat'], x['Lon'])), axis=1)