在Python Matplotlib中更改3D表面图中的网格线粗细 [英] Changing grid line thickness in 3D surface plot in Python Matplotlib

问题描述

我正在尝试更改表面图背景中构成网格的线条的粗度和透明度，例如

I'm trying to change the thickness and transparency of the lines that make up the grid in the background of a surface plot like this example from Matplotlib's website:

这是源代码:

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')

# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)

# Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
                   linewidth=0, antialiased=False)

# Customize the z axis.
ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))

# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)

plt.show()

我尝试调用ax.grid(linewidth=x)，但这似乎没有什么不同.还有其他改变厚度的方法吗?

I've tried calling ax.grid(linewidth=x) but that doesn't seem to make a difference. Is there some other way to change the thickness?

推荐答案

在mplot3d中设置网格参数的一种方法是更新相应轴的_axinfo词典.

A way to set the grid parameters in mplot3d is to update the _axinfo dictionary of the respective axis.

要在y方向上设置网格的线宽，请使用例如

To set the linewidth of the grid in y direction, use e.g.

ax.yaxis._axinfo["grid"]['linewidth'] = 3.

这是一个一般示例:

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.set_xlabel("x"); ax.set_ylabel("y"); ax.set_zlabel("z")
print ax.xaxis._axinfo

ax.xaxis._axinfo["grid"].update({"linewidth":1, "color" : "green"})

ax.yaxis._axinfo["grid"]['linewidth'] = 3.

ax.zaxis._axinfo["grid"]['color'] = "#ee0009"
ax.zaxis._axinfo["grid"]['linestyle'] = ":"


plt.show()

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