To render 3D histograms in Python, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create a new figure or activate an existing figure using figure() method.
Add an axes to the cureent figure as a subplot arrangement.
Create x3, y3 and z3 data points using numpy.
Create dx, dy and dz data points using numpy.
Use bar3d() method to plot 3D bars.
To hide the axes use axis('off') class by name.
To display the figure, use show() method.
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()
ax1 = fig.add_subplot(111, projection='3d')
x3 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y3 = [5, 6, 7, 8, 2, 5, 6, 3, 7, 2]
z3 = np.zeros(10)
dx = np.ones(10)
dy = np.ones(10)
dz = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
ax1.bar3d(y3, x3, z3, dx, dy, dz, color="red")
ax1.axis('off')
plt.show()Output
