[英]Changing grid line thickness in 3D surface plot in Python Matplotlib
我正在嘗試更改構成表面圖背景中網格的線條的粗細和透明度, 例如來自 Matplotlib 網站的示例:
這是源代碼:
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()
我試過調用ax.grid(linewidth=x)
但這似乎沒有什么區別。 有沒有其他方法可以改變厚度?
在 mplot3d 中設置網格參數的一種方法是更新相應軸的_axinfo
字典。
要在 y 方向設置網格的線寬,請使用例如
ax.yaxis._axinfo["grid"]['linewidth'] = 3.
這是一個通用示例:
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()
plt.rcParams['grid.linewidth'] = 3
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.