>>> """
=======
Barcode
=======
This demo shows how to produce a bar code.

The figure size is calculated so that the width in pixels is a multiple of the
number of data points to prevent interpolation artifacts. Additionally, the
``Axes`` is defined to span the whole figure and all ``Axis`` are turned off.

The data itself is rendered with `~.Axes.imshow` using

- ``code.reshape(1, -1)`` to turn the data into a 2D array with one row.
- ``imshow(..., aspect='auto')`` to allow for non-square pixels.
- ``imshow(..., interpolation='nearest')`` to prevent blurred edges. This
  should not happen anyway because we fine-tuned the figure width in pixels,
  but just to be safe.
"""
... 
... import matplotlib.pyplot as plt
... import numpy as np
... 
... 
... code = np.array([
...     1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1,
...     0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0,
...     1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1,
...     1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1])
... 
... pixel_per_bar = 4
... dpi = 100
... 
... fig = plt.figure(figsize=(len(code) * pixel_per_bar / dpi, 2), dpi=dpi)
... ax = fig.add_axes([0, 0, 1, 1])  # span the whole figure
... ax.set_axis_off()
... ax.imshow(code.reshape(1, -1), cmap='binary', aspect='auto',
...           interpolation='nearest')
... 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.add_axes`
...