>>> """
===========
Multi Image
===========

Make a set of images with a single colormap, norm, and colorbar.
"""
... 
... from matplotlib import colors
... import matplotlib.pyplot as plt
... import numpy as np
... 
... np.random.seed(19680801)
... Nr = 3
... Nc = 2
... 
... fig, axs = plt.subplots(Nr, Nc)
... fig.suptitle('Multiple images')
... 
... images = []
... for i in range(Nr):
...     for j in range(Nc):
...         # Generate data with a range that varies from one plot to the next.
...         data = ((1 + i + j) / 10) * np.random.rand(10, 20)
...         images.append(axs[i, j].imshow(data))
...         axs[i, j].label_outer()
... 
... # Find the min and max of all colors for use in setting the color scale.
... vmin = min(image.get_array().min() for image in images)
... vmax = max(image.get_array().max() for image in images)
... norm = colors.Normalize(vmin=vmin, vmax=vmax)
... for im in images:
...     im.set_norm(norm)
... 
... fig.colorbar(images[0], ax=axs, orientation='horizontal', fraction=.1)
... 
... 
... # Make images respond to changes in the norm of other images (e.g. via the
... # "edit axis, curves and images parameters" GUI on Qt), but be careful not to
... # recurse infinitely!
... def update(changed_image):
...     for im in images:
...         if (changed_image.get_cmap() != im.get_cmap()
...                 or changed_image.get_clim() != im.get_clim()):
...             im.set_cmap(changed_image.get_cmap())
...             im.set_clim(changed_image.get_clim())
... 
... 
... for im in images:
...     im.callbacks.connect('changed', update)
... 
... plt.show()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... #    The use of the following functions, methods, classes and modules is shown
... #    in this example:
... #
... #    - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
... #    - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
... #    - `matplotlib.colors.Normalize`
... #    - `matplotlib.cm.ScalarMappable.set_cmap`
... #    - `matplotlib.cm.ScalarMappable.set_norm`
... #    - `matplotlib.cm.ScalarMappable.set_clim`
... #    - `matplotlib.cbook.CallbackRegistry.connect`
...