# ---
# jupyter:
#   jupytext:
#     text_representation:
#       extension: .py
#       format_name: light
#       format_version: '1.5'
#       jupytext_version: 1.14.4
#   kernelspec:
#     display_name: Python 3
#     language: python
#     name: python3
# ---

# %matplotlib inline

#
# ========================
# 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

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