.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_intro_matplotlib_auto_examples_plot_bar.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_intro_matplotlib_auto_examples_plot_bar.py:


Bar plots
==========

An example of bar plots with matplotlib.




.. image:: /intro/matplotlib/auto_examples/images/sphx_glr_plot_bar_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt

    n = 12
    X = np.arange(n)
    Y1 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)
    Y2 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)

    plt.axes([0.025, 0.025, 0.95, 0.95])
    plt.bar(X, +Y1, facecolor='#9999ff', edgecolor='white')
    plt.bar(X, -Y2, facecolor='#ff9999', edgecolor='white')

    for x, y in zip(X, Y1):
        plt.text(x + 0.4, y + 0.05, '%.2f' % y, ha='center', va= 'bottom')

    for x, y in zip(X, Y2):
        plt.text(x + 0.4, -y - 0.05, '%.2f' % y, ha='center', va= 'top')

    plt.xlim(-.5, n)
    plt.xticks([])
    plt.ylim(-1.25, 1.25)
    plt.yticks([])

    plt.show()

**Total running time of the script:** ( 0 minutes  0.029 seconds)


.. _sphx_glr_download_intro_matplotlib_auto_examples_plot_bar.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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