

.. _sphx_glr_gallery_scales_scales.py:


======
Scales
======

Illustrate the scale transformations applied to axes, e.g. log, symlog, logit.




.. image:: /gallery/scales/images/sphx_glr_scales_001.png
    :align: center





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.ticker import NullFormatter

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    # make up some data in the interval ]0, 1[
    y = np.random.normal(loc=0.5, scale=0.4, size=1000)
    y = y[(y > 0) & (y < 1)]
    y.sort()
    x = np.arange(len(y))

    # plot with various axes scales
    fig, axs = plt.subplots(2, 2, sharex=True)
    fig.subplots_adjust(left=0.08, right=0.98, wspace=0.3)

    # linear
    ax = axs[0, 0]
    ax.plot(x, y)
    ax.set_yscale('linear')
    ax.set_title('linear')
    ax.grid(True)


    # log
    ax = axs[0, 1]
    ax.plot(x, y)
    ax.set_yscale('log')
    ax.set_title('log')
    ax.grid(True)


    # symmetric log
    ax = axs[1, 1]
    ax.plot(x, y - y.mean())
    ax.set_yscale('symlog', linthreshy=0.02)
    ax.set_title('symlog')
    ax.grid(True)

    # logit
    ax = axs[1, 0]
    ax.plot(x, y)
    ax.set_yscale('logit')
    ax.set_title('logit')
    ax.grid(True)
    ax.yaxis.set_minor_formatter(NullFormatter())


    plt.show()

**Total running time of the script:** ( 0 minutes  0.104 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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