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import os
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import numpy as np
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import matplotlib.pyplot as plt
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# Generate dummy data
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delta = 0.01
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x = np.arange(-3.0, 3.0, delta)
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y = np.arange(-3.0, 3.0, delta)
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X, Y = np.meshgrid(x, y)
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Z = X * Y
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# Set range and steps for colour bar
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c_max = 8
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c_min = -8
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c_step = 2
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# Create colour map
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cmap = plt.cm.get_cmap('Blues', (c_max - c_min + c_step) / c_step)
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fig, ax = plt.subplots(1, 1, figsize=(6, 4))
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# Plot image
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im = ax.imshow(Z,
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cmap=cmap,
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interpolation='bilinear',
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vmax=c_max + c_step / 2,
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vmin=c_min - c_step / 2)
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# Add colour bar
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plt.colorbar(im, ticks=np.arange(c_min, c_max + 1, c_step))
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# Hide spines and ticks
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ax.set_axis_off()
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# Export figure
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png_name = os.path.join(
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'png',
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os.path.basename(__file__).replace('.py', '.png').replace('_', '-'))
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plt.savefig(png_name, bbox_inches='tight', dpi=100)
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