To turn off transparency in Matplotlib's 3D scatter plot, we can use depthshade to shade the scatter markers to give the appearance of depth.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure.
- Add an ax to the figure as part of a subplot arrangement.
- Create random data points x, y and z using numpy.
- Use scatter method to plot x, y and z data points on 3D axes with depthshade=False.
- To display the figure, use show() methpod.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(projection='3d') N = 10 x = np.random.rand(N) y = np.random.rand(N) z = np.random.rand(N) ax.scatter(x, y, z, c=y, cmap='plasma', alpha=1, depthshade=False) plt.show()