3D surface Plot having 2D contour plot projections
3D surface plots plotted with Matplotlib can be projected on 2D surfaces. The code below creates a 3D plots and visualizes its projection on 2D contour plot:
Example:
Python3
# Import librariesfrom mpl_toolkits import mplot3dimport numpy as npimport matplotlib.pyplot as plt# Creating datasetx = np.outer(np.linspace(-3, 3, 32), np.ones(32))y = x.copy().T # transposez = (np.sin(x **2) + np.cos(y **2) )# Creating figurefig = plt.figure(figsize =(14, 9))ax = plt.axes(projection ='3d')# Creating color mapmy_cmap = plt.get_cmap('hot')# Creating plotsurf = ax.plot_surface(x, y, z, rstride = 8, cstride = 8, alpha = 0.8, cmap = my_cmap)cset = ax.contourf(x, y, z, zdir ='z', offset = np.min(z), cmap = my_cmap)cset = ax.contourf(x, y, z, zdir ='x', offset =-5, cmap = my_cmap)cset = ax.contourf(x, y, z, zdir ='y', offset = 5, cmap = my_cmap)fig.colorbar(surf, ax = ax, shrink = 0.5, aspect = 5)# Adding labelsax.set_xlabel('X-axis')ax.set_xlim(-5, 5)ax.set_ylabel('Y-axis')ax.set_ylim(-5, 5)ax.set_zlabel('Z-axis')ax.set_zlim(np.min(z), np.max(z))ax.set_title('3D surface having 2D contour plot projections')# show plotplt.show() |
Output:
3D Surface plotting in Python using Matplotlib
A Surface Plot is a representation of three-dimensional dataset. It describes a functional relationship between two independent variables X and Z and a designated dependent variable Y, rather than showing the individual data points. It is a companion plot of the contour plot. It is similar to the wireframe plot, but each face of the wireframe is a filled polygon. This helps to create the topology of the surface which is being visualized.