.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_gallery_images_contours_and_fields_barcode_demo.py:
============
Barcode Demo
============
This demo shows how to produce a one-dimensional image, or "bar code".
.. code-block:: default
import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
# the bar
x = np.random.rand(500) > 0.7
barprops = dict(aspect='auto', cmap='binary', interpolation='nearest')
fig = plt.figure()
# a vertical barcode
ax1 = fig.add_axes([0.1, 0.1, 0.1, 0.8])
ax1.set_axis_off()
ax1.imshow(x.reshape((-1, 1)), **barprops)
# a horizontal barcode
ax2 = fig.add_axes([0.3, 0.4, 0.6, 0.2])
ax2.set_axis_off()
ax2.imshow(x.reshape((1, -1)), **barprops)
plt.show()
.. image:: /gallery/images_contours_and_fields/images/sphx_glr_barcode_demo_001.png
:alt: barcode demo
:class: sphx-glr-single-img
------------
References
""""""""""
The use of the following functions, methods and classes is shown
in this example:
.. code-block:: default
import matplotlib
matplotlib.axes.Axes.imshow
matplotlib.pyplot.imshow
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
.. _sphx_glr_download_gallery_images_contours_and_fields_barcode_demo.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: barcode_demo.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: barcode_demo.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
Keywords: matplotlib code example, codex, python plot, pyplot
`Gallery generated by Sphinx-Gallery
`_