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Layering a contourf plot and surface_plot in Matplotlib
To layer a contourf plot and surface_plot in matplotlib, we can take the following Steps −
Initialize the variables, delta, xrange, yrange, x and y using numpy.
Create a new figure or activate an existing figure using figure() method.
Get the current axis where projection='3d'.
Create a 3d countour plot with x and y data points.
Plot the surface with x and y data points.
To display the figure, use show() method.
Example
from matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True delta = 0.025 xrange = np.arange(-5.0, 20.0, delta) yrange = np.arange(-5.0, 20.0, delta) x, y = np.meshgrid(xrange, yrange) fig = plt.figure() ax = fig.gca(projection='3d') ax.contour(x, y, (np.sin(x) - np.cos(y)), [0]) ax.plot_surface(x, y, (np.sin(x) - np.cos(y)), cmap="afmhot_r") plt.show()
Output
Updated on: 15-May-2021
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