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import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.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)
import matplotlib.mlab as mlab
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = (Z1 - Z2) * 10
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(1)
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.draw()
plt.show()
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