"""
==================
Colormap pitfalls.
==================

Choosing the right colormap is important. A bad colormap like ``jet``
(standard in ROOT and matplotlib < 2.0) fools you into seeing structure
where there isn't any.
"""

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

x = np.linspace(-np.pi, np.pi, 300)
xx, yy = np.meshgrid(x, x)
z = np.cos(xx) + np.cos(yy)

fig, axes = plt.subplots(2, 2)

for ax, colourmap in zip(axes, ['gray', 'jet', 'cubehelix', 'viridis']):
    ax.set_title(colourmap)
    im = ax.imshow(z, cmap=plt.get_cmap(colourmap))
    divider = make_axes_locatable(ax)
    cax = divider.append_axes('right', size='20%', pad=0.05)
    cbar = plt.colorbar(im, cax=cax)

"""
==================
Colormap pitfalls.
==================

Choosing the right colormap is important. A bad colormap like ``jet``
(standard in ROOT and matplotlib < 2.0) fools you into seeing structure
where there isn't any.
"""

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

x = np.linspace(-np.pi, np.pi, 300)
xx, yy = np.meshgrid(x, x)
z = np.cos(xx) + np.cos(yy)

fig, axes = plt.subplots(2, 2)

for ax, colourmap in zip(axes.flatten(),
                         ['gray', 'jet', 'cubehelix', 'viridis']):
    ax.set_title(colourmap)
    im = ax.imshow(z, cmap=plt.get_cmap(colourmap))
    divider = make_axes_locatable(ax)
    cax = divider.append_axes('right', size='20%', pad=0.05)
    cbar = plt.colorbar(im, cax=cax)

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