我需要使用cartopy
生成地图并在其上绘制一些数据(使用networkx
)。我能够做到这一点,但networkx
对象在地图的后面。我试图强制使用zorder
图层的顺序,但是...它不工作:(cartopy + networkx:zorder不起作用
我唯一的想法是为cartopy
几何图形添加一些透明度,但它看起来并不好看...... (在这个例子中它看起来并不那么糟糕,但我的整个数据,它看起来可怕)
如何强制订购任何ideias
这里是我的代码:?
import cartopy.crs as ccrs
from cartopy.io import shapereader as shpreader
import matplotlib.pyplot as plt
import networkx as nx
paises = ['Portugal', 'France', 'Canada', 'Brazil', 'Kazakhstan']
cidades = ['Aveiro', 'Ust-Kamenogorsk', 'Manaus']
links = [('Aveiro', 'Ust-Kamenogorsk'),
('Manaus', 'Ust-Kamenogorsk'),
('Aveiro', 'Manaus')]
position = {'Aveiro': (-8.65, 40.6),
'Manaus': (-60.0, -3.1),
'Ust-Kamenogorsk': (82.6, 49.97)}
# map using cartopy:
shapename = 'admin_0_countries'
countries_shp = shpreader.natural_earth(resolution='110m',
category='cultural', name=shapename)
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=0.0, globe=None))
ax.set_global()
for country in shpreader.Reader(countries_shp).records():
nome = country.attributes['name_long']
if nome in paises:
i = paises.index(nome)
artist = ax.add_geometries(country.geometry, ccrs.PlateCarree(),
facecolor='yellow',
#alpha=0.5,
zorder=10)
else:
artist = ax.add_geometries(country.geometry, ccrs.PlateCarree(),
facecolor='0.9',
zorder=10)
# add some data over the cartopy map (using networkx):
G = nx.Graph()
G.add_nodes_from(cidades)
G.add_edges_from(links)
nx.draw_networkx_nodes(G, position, node_size=20, nodelist=cidades, zorder=20)
edges=nx.draw_networkx_edges(G, position, edgelist=links, zorder=20)
plt.show()
完美!谢谢...下次我应该在源代码中寻找答案:) – carla