python - 多个形状内的 basemap 轮廓

我试图仅在shapefile中包含的城镇范围内在地图上绘制插值天气数据。以下是带有导入的shapefile的底图上未剪切的轮廓线：
Contourf overlaid on Basemap with Shapefile

我尝试通过遍历轮廓集合来裁剪轮廓集合，如下所示：

m.readshapefile('data/grense', 'grense',zorder=10,linewidth=1,
drawbounds=True)

patches   = []
for info, shape in zip(m.grense_info, m.grense):
   patches.append( Polygon(np.array(shape), linestyle=':', fill=False) )

for poly in patches:
   for collection in cs.collections:
      collection.set_clip_path(poly)

显然，这将轮廓限制为一个多边形，即一个城镇，如下所示：
Contourf clipped to one ploygon

是否可以创建轮廓集合的集合，然后可以使用ax.add_collection（new_contour_collection）添加这些集合？类似于以下内容：

for poly in patches:
   for collection in cs.collections:
     contour_collection.append(collection)
ax.add_collection(contour_collection)

还是可以从Patchcollection创建单个路径，然后使用collection.set_clip_patch（patches）裁剪每个轮廓集合？

最佳答案

遵循swatchai的建议和Thomas Kühn先前的回答here，我设法解决了我的问题，在此处看到了，

通过执行以下操作：

#Combine shapefile shape object (m.grense) with map edges
##limits of the map:
x0,x1 = ax.get_xlim()
y0,y1 = ax.get_ylim()
map_edges = np.array([[x0,y0],[x1,y0],[x1,y1],[x0,y1]])

polys = [map_edges] + m.grense

codes = [
    [Path.MOVETO] + [Path.LINETO for p in p[1:]]
    for p in polys
]
polys_lin = [v for p in polys for v in p]
codes_lin = [c for cs in codes for c in cs]
path = Path(polys_lin, codes_lin)

#Important - Set Zorder greater than Contour and less than Map
borders
patch = PathPatch(path,facecolor='white', lw=0, zorder =2)

##masking the data:
ax.add_patch(patch)

关于python - 多个形状内的 basemap 轮廓，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/53699083/