突出显示顶点处的多边形

Question

如何在 GeoDataFrame 中创建一个 ---

dict

可能是最好的--- 在顶点处入射。多边形将相交但永远不会交叉。

import geopandas as gpd
from shapely.geometry import Polygon
import matplotlib.pyplot as plt

polys = gpd.GeoSeries([Polygon([(0,0), (2,0), (2, 1.5), (2,2), (0,2)]),
                     Polygon([(0,2), (2,2), (2,4), (0,4)]),
                     Polygon([(2,0), (5,0), (5,1.5), (2,1.5)]),
                     Polygon([(3,3), (5,3), (5,5), (3,5)])])

fp = gpd.GeoDataFrame({'geometry': polys, 'name': ['a', 'b', 'c', 'd']})

fig, ax = plt.subplots(figsize=(5, 5))
fp.plot(ax=ax, alpha=0.3, cmap='tab10', edgecolor='k',)
fp.apply(lambda x: ax.annotate(text=x['name'], xy=x.geometry.centroid.coords[0], ha='center'), axis=1)
plt.show()

for i, row in fp.iterrows():
    oring = list(row.geometry.exterior.coords)#, row['ground_height']
    if row.geometry.exterior.is_ccw == False:
        #-- to get proper orientation of the normals
        oring.reverse() 
    for (j, v) in enumerate(oring[:-1]):
        print([oring[j][0], oring[j][1], row['name']])

[0.0, 0.0, 'a']
[2.0, 0.0, 'a']
[2.0, 1.5, 'a']
[2.0, 2.0, 'a']
[0.0, 2.0, 'a'] 
[0.0, 2.0, 'b']  
[2.0, 2.0, 'b']  
[2.0, 4.0, 'b']  
[0.0, 4.0, 'b']
[2.0, 0.0, 'c']
[5.0, 0.0, 'c']
[5.0, 1.5, 'c']
[2.0, 1.5, 'c']
[3.0, 3.0, 'd']  
[5.0, 3.0, 'd']  
[5.0, 5.0, 'd']  
[3.0, 5.0, 'd']

所以在第一个顶点我们应该有： 一个;
第二：a，c；
第三：a，c；
第四：a，b；
5rd: a, b;
第 6：b，a；
第 7：b，a；
第八名：b；等等