我想要一个函数plot(shapely_objects)
,其中shapely_objects
是多边形,点和多多边形的列表。我有一些非常相似的东西,但是它填补了多边形的空洞。如何绘制带有孔的形状多边形?
from shapely.geometry import Point, shape
def plot(shapely_objects, figure_path='fig.png'):
from matplotlib import pyplot as plt
import geopandas as gpd
boundary = gpd.GeoSeries(shapely_objects)
boundary.plot(color=['red', 'green'])
plt.savefig(figure_path, dpi=300, bbox_inches="tight")
p = Point(12.12, 54.085)
name = ''
multi_poly = {'coordinates': (((12.11, 54.08), (12.11, 54.09),
(12.13, 54.09), (12.13, 54.08)),
((12.11, 54.08), (12.11, 54.09),
(12.13, 54.09), (12.13, 54.08))),
'type': 'Polygon'}
multi_poly = shape(multi_poly)
plot([p, multi_poly, p])
print('multi_poly.intersects(p) == {}'.format(multi_poly.intersects(p)))
print('multi_poly.touches(p) == {}'.format(multi_poly.touches(p)))
print('multi_poly.contains(p) == {}'.format(multi_poly.contains(p)))
print('p.within(multi_poly) == {}'.format(p.within(multi_poly)))
p, multi_poly = multi_poly, p
print('multi_poly.intersects(p) == {}'.format(multi_poly.intersects(p)))
print('multi_poly.touches(p) == {}'.format(multi_poly.touches(p)))
print('multi_poly.contains(p) == {}'.format(multi_poly.contains(p)))
print('p.within(multi_poly) == {}'.format(p.within(multi_poly)))
绿点不在红色多边形内。孔丢失/已填充。