Creating three-dimensional plots

Matplotlib offers several different ways to visualize three-dimensional data. In this recipe, we will demonstrate the following methods:

• Drawing surfaces plots
• Drawing two-dimensional contour plots
• Using color maps and color bars

Getting ready

Start Jupyter and run the following three commands in an execution cell:

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

How to do it…

Run the following code in a Jupyter code cell:

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
f = lambda x,y: x**3 -...