Change 3D Plot Background

2024-07-29 13:01 UTC gpt-4o Open in ChatGPT ↗

To set the grid background color of a 3D plot in Matplotlib to black, you can use the ax.w_xaxis.set_pane_color(), ax.w_yaxis.set_pane_color(), and ax.w_zaxis.set_pane_color() methods. Here’s an example of how to do this:

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

# Create some data
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
x, y = np.meshgrid(x, y)
z = np.sin(np.sqrt(x**2 + y**2))

# Create a figure
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Plot the surface
ax.plot_surface(x, y, z, cmap='viridis')

# Change grid background color to black
ax.w_xaxis.set_pane_color((0, 0, 0, 1))
ax.w_yaxis.set_pane_color((0, 0, 0, 1))
ax.w_zaxis.set_pane_color((0, 0, 0, 1))

# Show the plot
plt.show()

This code will create a 3D plot with the grid background color set to black.

It seems that the Axes3D object methods have changed. Instead of using ax.w_xaxis.set_pane_color(), we can use ax.xaxis.set_pane_color() (and similarly for y and z axes).

Here’s how you can change the grid background color to black for a 3D plot:

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

# Create some data
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
x, y = np.meshgrid(x, y)
z = np.sin(np.sqrt(x**2 + y**2))

# Create a figure
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Plot the surface
ax.plot_surface(x, y, z, cmap='viridis')

# Change grid background color to black
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False

# Set the pane colors to black with alpha = 1
ax.xaxis.set_pane_color((0, 0, 0, 1))
ax.yaxis.set_pane_color((0, 0, 0, 1))
ax.zaxis.set_pane_color((0, 0, 0, 1))

# Show the plot
plt.show()

This code will set the grid background color to black for a 3D plot using the updated Axes3D object methods.

To set the grid color to dark gray in a 3D plot and ensure the background panes are black, you can adjust the code as follows:

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

# Create some data
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
x, y = np.meshgrid(x, y)
z = np.sin(np.sqrt(x**2 + y**2))

# Create a figure
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Plot the surface
ax.plot_surface(x, y, z, cmap='viridis')

# Change grid background color to black
ax.xaxis.pane.set_edgecolor((0, 0, 0, 1))
ax.yaxis.pane.set_edgecolor((0, 0, 0, 1))
ax.zaxis.pane.set_edgecolor((0, 0, 0, 1))

# Set the pane colors to black with alpha = 1
ax.xaxis.set_pane_color((0, 0, 0, 1))
ax.yaxis.set_pane_color((0, 0, 0, 1))
ax.zaxis.set_pane_color((0, 0, 0, 1))

# Set the grid color to dark gray
ax.xaxis._axinfo['grid'].update(color='darkgray')
ax.yaxis._axinfo['grid'].update(color='darkgray')
ax.zaxis._axinfo['grid'].update(color='darkgray')

# Show the plot
plt.show()

This code will set the grid background color to black and the grid lines to dark gray for a 3D plot using the updated Axes3D object methods.