You are reading an old version of the documentation (v3.1.0). For the latest version see https://matplotlib.org/stable/

# Whats New 0.99 Axes Grid¶

Create RGB composite images.

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes

def get_demo_image():
# prepare image
delta = 0.5

extent = (-3, 4, -4, 3)
x = np.arange(-3.0, 4.001, delta)
y = np.arange(-4.0, 3.001, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2

return Z, extent

def get_rgb():
Z, extent = get_demo_image()

Z[Z < 0] = 0.
Z = Z / Z.max()

R = Z[:13, :13]
G = Z[2:, 2:]
B = Z[:13, 2:]

return R, G, B

fig = plt.figure()
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])

r, g, b = get_rgb()
kwargs = dict(origin="lower", interpolation="nearest")
ax.imshow_rgb(r, g, b, **kwargs)

ax.RGB.set_xlim(0., 9.5)
ax.RGB.set_ylim(0.9, 10.6)

plt.show()


## References¶

The use of the following functions, methods, classes and modules is shown in this example:

import mpl_toolkits
mpl_toolkits.axes_grid1.axes_rgb.RGBAxes
mpl_toolkits.axes_grid1.axes_rgb.RGBAxes.imshow_rgb


Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery