Matplotlib 3D Contour Plot  contour3d() Function
In this tutorial, we will cover the Contour Plot in 3 dimensions using the Matplotlib library.
To draw or to enable the 3d plots you just need to import the mplot3d toolkit.
There is a function named ax.contour3D()
that is used to create a threedimensional contour plot.
This function requires all the input data to be in the form of twodimensional regular grids, with its Zdata evaluated at each point.
3D Contour Plot Example
In the example given below, we will create a 3dimensional contour plot for the sine function. The code snippet is as given below:
from mpl_toolkits import mplot3d
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import math
x = [i for i in range(0, 200, 100)]
y = [i for i in range(0, 200, 100)]
X, Y = np.meshgrid(x, y)
Z = []
for i in x:
t = []
for j in y:
t.append(math.sin(math.sqrt(i*2+j*2)))
Z.append(t)
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(X, Y, Z, 50, cmap=cm.cool)
ax.set_xlabel('a')
ax.set_ylabel('b')
ax.set_zlabel('c')
ax.set_title('3D contour Plot for sine')
plt.show()
The explanation of the functions used in the above code is as follows:

meshgrid
This is a function of NumPy library that is used to create a rectangular grid out of two given onedimensional arrays representing the Cartesian or Matrix indexing.

plt.axes()
This function is used to create the object of the Axes.

ax.contour3D
This function is used to create contour

ax.set_xlabel
This function is used to set the label for the xaxis

ax.set_title()
This function is used to provide a title to the Plot
Following will be the output of the above code:
Summary:
In the last tutorial, we covered the 3D Line plot and scatter plot and also introduced you to 3D plots in matplotlib. In this tutorial, we covered the 3D Contour plot in matplotlib.