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)
这显然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:
for poly in patches:
for collection in cs.collections:
contour_collection.append(collection)
ax.add_collection(contour_collection)
或者我可以从Patchcollection创建一条路径,然后使用collection.set_clip_patch(patches)裁剪每个轮廓集合吗?
答案 0 :(得分:2)
遵循swatchai的建议和Thomas Kühn的先前答案here,我设法解决了我的问题,见,
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)