.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/scales/log_bar.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. meta::
        :keywords: codex

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

        :ref:`Go to the end <sphx_glr_download_gallery_scales_log_bar.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_scales_log_bar.py:


=======
Log Bar
=======

Plotting a bar chart with a logarithmic y-axis.

.. GENERATED FROM PYTHON SOURCE LINES 8-30



.. image-sg:: /gallery/scales/images/sphx_glr_log_bar_001.png
   :alt: log bar
   :srcset: /gallery/scales/images/sphx_glr_log_bar_001.png, /gallery/scales/images/sphx_glr_log_bar_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python

    import matplotlib.pyplot as plt
    import numpy as np

    data = ((3, 1000), (10, 3), (100, 30), (500, 800), (50, 1))

    dim = len(data[0])
    w = 0.75
    dimw = w / dim

    fig, ax = plt.subplots()
    x = np.arange(len(data))
    for i in range(len(data[0])):
        y = [d[i] for d in data]
        b = ax.bar(x + i * dimw, y, dimw, bottom=0.001)

    ax.set_xticks(x + dimw / 2, labels=map(str, x))
    ax.set_yscale('log')

    ax.set_xlabel('x')
    ax.set_ylabel('y')

    plt.show()


.. _sphx_glr_download_gallery_scales_log_bar.py:

.. only:: html

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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

    .. container:: sphx-glr-download sphx-glr-download-python

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


.. only:: html

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

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