在 matplotlib 中更改插图的网格属性

如何解决在 matplotlib 中更改插图的网格属性

这是对我在 here 上发布的问题的跟进。在 matplotlib 图中添加了网络图作为插图。

import networkx as nx
import matplotlib.pyplot as plt

G = nx.gnm_random_graph(n=10,m=15,seed=1)
nxpos = nx.spring_layout(G,dim=3,seed=1)

nxpts = [nxpos[pt] for pt in sorted(nxpos)]
nx_lines = [(nxpts[i],nxpts[j]) for i,j in G.edges()]

# node values
values = [[1,0],[30,80,10,79,70,60,75,78,65,10],[1,.30,.10,.79,.70,.60,.75,.78,.65,.90]]
time = [0.0,0.1,0.2]  # in seconds


fig,ax = plt.subplots()
ax.plot(
    [1,2,3],'go-',label='line 1',linewidth=2
 )

from mpl_toolkits.mplot3d import (Axes3D)
from matplotlib.transforms import BBox
rect = [.6,.5,.5]
bBox = BBox.from_bounds(*rect)
inax = fig.add_axes(bBox,projection = '3d')
  
# inax.axis('off')


# set angle
angle = 25
inax.view_init(10,angle)

# hide axes,make transparent
# inax.set_facecolor('none')
inax.grid('off')
import numpy as np

# plot 3d
seen = set()
for i,j in G.edges():
    x = np.stack((nxpos[i],nxpos[j]))
    inax.plot(*x.T,color = 'k')
    if i not in seen:
        inax.scatter(*x[0],color = 'skyblue')
        seen.add(i)
    if j not in seen:
        inax.scatter(*x[1],color = "skyblue")
        seen.add(j)

fig.show()

我想更改网格属性，即将网格颜色设置为 red 并更改线宽。我试过 inax.grid('on',color='r') 但这不会改变颜色。有关如何更改设置的建议将非常有用。

解决方法

你可以这样做：

inax.w_xaxis._axinfo.update({'grid' : {'color': 'red','linewidth': 0.8,'linestyle': '-'}})
inax.w_yaxis._axinfo.update({'grid' : {'color': 'red','linestyle': '-'}})
inax.w_zaxis._axinfo.update({'grid' : {'color': 'red','linestyle': '-'}})

输出：