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How can I hide the axes in Matplotlib 3D?
To hide the axes in matplotlib 3D, we can take the following steps−
- Create a 2D array, where x, y, z, u, v and w are the coordinates of the arrow locations and direction components of the arrow vectors.
- Using figure() method, create a new figure or activate an existing figure.
- Add an '~.axes.Axes' to the figure as part of a subplot arrangement, using add_subplot() method
- Plot a 3D field of arrows, using quiver() method.
- Using ylim, xlim, zlim, limit the range of the axes
- Set the title of the plot.
- Create two axes (ax1 and ax2). Set the titles "With Axes" and "Without Axes". Using set_axis_off() method, we can hide the axes.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True soa = np.array([[0, 0, 1, 1, -2, 0], [0, 0, 2, 1, 1, 0], [0, 0, 3, 2, 1, 0], [0, 0, 4, 0.5, 0.7, 0]]) X, Y, Z, U, V, W = zip(*soa) fig = plt.figure() ax = fig.add_subplot(121, projection='3d') ax.quiver(X, Y, Z, U, V, W, color='red') ax.set_xlim([-1, 0.5]) ax.set_ylim([-1, 1.5]) ax.set_zlim([-1, 8]) ax.set_title("With Axes") ax1 = fig.add_subplot(122, projection='3d') ax1.set_axis_off() ax1.quiver(X, Y, Z, U, V, W, color='red') ax1.set_xlim([-1, 0.5]) ax1.set_ylim([-1, 1.5]) ax1.set_zlim([-1, 8]) ax1.set_title("Without Axes") plt.show()
Output
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