import matplotlib.pyplot as plt
import numpy as np

# the bar
x = np.where(np.random.rand(500) > 0.7, 1.0, 0.0)

axprops = dict(xticks=[], yticks=[])
barprops = dict(aspect='auto', cmap=plt.cm.binary, interpolation='nearest')

fig = plt.figure()

# a vertical barcode -- this is broken at present
x.shape = len(x), 1
ax = fig.add_axes([0.1, 0.3, 0.1, 0.6], **axprops)
ax.imshow(x, **barprops)

x = x.copy()
# a horizontal barcode
x.shape = 1, len(x)
ax = fig.add_axes([0.3, 0.1, 0.6, 0.1], **axprops)
ax.imshow(x, **barprops)


plt.show()