确定点位于哪个多边形中，然后将该多边形的名称作为新列应用于大型pandas数据框

from shapely.geometry import Point, Polygon
import pandas as pd

# 定义多边形的几何形状和名称
polygons = [
    {
        'name': 'Polygon A',
        'coordinates': [(0, 0), (0, 10), (10, 10), (10, 0)]
    },
    {
        'name': 'Polygon B',
        'coordinates': [(10, 0), (10, 10), (20, 10), (20, 0)]
    },
    {
        'name': 'Polygon C',
        'coordinates': [(0, 10), (0, 20), (10, 20), (10, 10)]
    }
]

# 创建多边形对象
polygons_objs = []
for polygon in polygons:
    polygon_obj = Polygon(polygon['coordinates'])
    polygons_objs.append(polygon_obj)

# 创建示例数据框
data = {
    'x': [5, 15, 5],
    'y': [5, 5, 15]
}
df = pd.DataFrame(data)

# 定义函数来确定点位于哪个多边形中
def get_polygon_name(row):
    point = Point(row['x'], row['y'])
    for i, polygon_obj in enumerate(polygons_objs):
        if polygon_obj.contains(point):
            return polygons[i]['name']
    return None

# 应用函数并将多边形名称作为新列应用于数据框
df['polygon_name'] = df.apply(get_polygon_name, axis=1)

print(df)

    x   y polygon_name
0   5   5    Polygon A
1  15   5    Polygon B
2   5  15    Polygon C