我需要使用 cartopy
生成 map 并在其上绘制一些数据(使用 networkx
)。我能够做到,但 networkx
对象在 map 后面。我正在尝试使用 zorder
强制层的顺序,但是......它不起作用:(
我唯一的想法是为 cartopy
几何图形添加一些透明度,但它看起来一点也不好看......(在这个例子中它看起来并不那么糟糕,但是我的整个数据看起来很糟糕)
关于如何强制命令的任何想法?
这是我的代码:
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()
这是我得到的图像:
最佳答案
发生的事情是你的 zorder=20
没有做任何事情;正如您在他们的源代码中看到的那样,它被忽略了。 networkx
在 their draw_networkx_edges
code 中的作用是:
def draw_networkx_edges(G, pos,
...
edge_collection.set_zorder(1) # edges go behind nodes
...
在 their
draw_networkx_nodes
code 中是:def draw_networkx_nodes(G, pos,
...
node_collection.set_zorder(2)
...
现在,解决方案很简单:
zorder
中的 add_geometries
设置为 1
,节点将位于 map 前面,因为它是 zorder 2。但是边缘仍然在 map 后面,因为它是 zorder 1。 nodes = nx.draw_networkx_nodes(G, position, node_size=20, nodelist=cidades)
edges = nx.draw_networkx_edges(G, position, edgelist=links)
然后是节点和边的
set_zorder
:nodes.set_zorder(20)
edges.set_zorder(20)
关于python - cartopy + networkx : zorder is not working,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/45203193/