To mark a specific level in a contour map on Matplotlib, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create x, y and z data points using Numpy.
Use contour() method to make contour plot.
Label the contour plot.
To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True def f(x, y): return np.sin(x) ** 10 + np.cos(10 + y * x) * np.cos(x) x = np.linspace(0, 5, 50) y = np.linspace(0, 5, 40) X, Y = np.meshgrid(x, y) Z = f(X, Y) contours = plt.contour(X, Y, Z, 3, colors='black') plt.clabel(contours, inline=True, fontsize=8) plt.show()