matplotlib/examples/mplot3d/mixed_subplots.py at master · Nodd/matplotlib · GitHub

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"""

=================================

2D and 3D *Axes* in same *Figure*

=================================

This example shows a how to plot a 2D and 3D plot on the same figure.

"""

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

def f(t):

s1 = np.cos(2*np.pi*t)

e1 = np.exp(-t)

return np.multiply(s1, e1)

# Set up a figure twice as tall as it is wide

fig = plt.figure(figsize=plt.figaspect(2.))

fig.suptitle('A tale of 2 subplots')

# First subplot

ax = fig.add_subplot(2, 1, 1)

t1 = np.arange(0.0, 5.0, 0.1)

t2 = np.arange(0.0, 5.0, 0.02)

t3 = np.arange(0.0, 2.0, 0.01)

ax.plot(t1, f(t1), 'bo',

t2, f(t2), 'k--', markerfacecolor='green')

ax.grid(True)

ax.set_ylabel('Damped oscillation')

# Second subplot

ax = fig.add_subplot(2, 1, 2, projection='3d')

X = np.arange(-5, 5, 0.25)

Y = np.arange(-5, 5, 0.25)

X, Y = np.meshgrid(X, Y)

R = np.sqrt(X**2 + Y**2)

Z = np.sin(R)

surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,

linewidth=0, antialiased=False)

ax.set_zlim(-1, 1)

plt.show()