

.. _sphx_glr_gallery_pylab_examples_gradient_bar.py:


============
Gradient Bar
============





.. image:: /gallery/pylab_examples/images/sphx_glr_gradient_bar_001.png
    :align: center





.. code-block:: python

    from matplotlib.pyplot import figure, show, cm
    from numpy import arange
    from numpy.random import rand


    def gbar(ax, x, y, width=0.5, bottom=0):
        X = [[.6, .6], [.7, .7]]
        for left, top in zip(x, y):
            right = left + width
            ax.imshow(X, interpolation='bicubic', cmap=cm.Blues,
                      extent=(left, right, bottom, top), alpha=1)

    fig = figure()

    xmin, xmax = xlim = 0, 10
    ymin, ymax = ylim = 0, 1
    ax = fig.add_subplot(111, xlim=xlim, ylim=ylim,
                         autoscale_on=False)
    X = [[.6, .6], [.7, .7]]

    ax.imshow(X, interpolation='bicubic', cmap=cm.copper,
              extent=(xmin, xmax, ymin, ymax), alpha=1)

    N = 10
    x = arange(N) + 0.25
    y = rand(N)
    gbar(ax, x, y, width=0.7)
    ax.set_aspect('auto')
    show()

**Total running time of the script:** ( 0 minutes  0.025 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: gradient_bar.py <gradient_bar.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: gradient_bar.ipynb <gradient_bar.ipynb>`

.. rst-class:: sphx-glr-signature

    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
