.. 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 `_