.. only:: html

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

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

    .. _sphx_glr_gallery_ticks_and_spines_auto_ticks.py:


=================================
Automatically setting tick labels
=================================

Setting the behavior of tick auto-placement.

If you don't explicitly set tick positions / labels, Matplotlib will attempt
to choose them both automatically based on the displayed data and its limits.

By default, this attempts to choose tick positions that are distributed
along the axis:


.. code-block:: default


    import matplotlib.pyplot as plt
    import numpy as np
    np.random.seed(19680801)

    fig, ax = plt.subplots()
    dots = np.arange(10) / 100. + .03
    x, y = np.meshgrid(dots, dots)
    data = [x.ravel(), y.ravel()]
    ax.scatter(*data, c=data[1])




.. image:: /gallery/ticks_and_spines/images/sphx_glr_auto_ticks_001.png
    :alt: auto ticks
    :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none


    <matplotlib.collections.PathCollection object at 0x7f79cadafe80>



Sometimes choosing evenly-distributed ticks results in strange tick numbers.
If you'd like Matplotlib to keep ticks located at round numbers, you can
change this behavior with the following rcParams value:


.. code-block:: default


    print(plt.rcParams['axes.autolimit_mode'])

    # Now change this value and see the results
    with plt.rc_context({'axes.autolimit_mode': 'round_numbers'}):
        fig, ax = plt.subplots()
        ax.scatter(*data, c=data[1])




.. image:: /gallery/ticks_and_spines/images/sphx_glr_auto_ticks_002.png
    :alt: auto ticks
    :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    data




You can also alter the margins of the axes around the data by
with ``axes.(x,y)margin``:


.. code-block:: default


    with plt.rc_context({'axes.autolimit_mode': 'round_numbers',
                         'axes.xmargin': .8,
                         'axes.ymargin': .8}):
        fig, ax = plt.subplots()
        ax.scatter(*data, c=data[1])

    plt.show()



.. image:: /gallery/ticks_and_spines/images/sphx_glr_auto_ticks_003.png
    :alt: auto ticks
    :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  1.169 seconds)


.. _sphx_glr_download_gallery_ticks_and_spines_auto_ticks.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: auto_ticks.py <auto_ticks.py>`



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

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_