

.. _sphx_glr_gallery_pylab_examples_errorbar_subsample.py:


==================
Errorbar Subsample
==================

Demo for the errorevery keyword to show data full accuracy data plots with
few errorbars.




.. image:: /gallery/pylab_examples/images/sphx_glr_errorbar_subsample_001.png
    :align: center





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt

    # example data
    x = np.arange(0.1, 4, 0.1)
    y = np.exp(-x)

    # example variable error bar values
    yerr = 0.1 + 0.1*np.sqrt(x)


    # Now switch to a more OO interface to exercise more features.
    fig, axs = plt.subplots(nrows=1, ncols=2, sharex=True)
    ax = axs[0]
    ax.errorbar(x, y, yerr=yerr)
    ax.set_title('all errorbars')

    ax = axs[1]
    ax.errorbar(x, y, yerr=yerr, errorevery=5)
    ax.set_title('only every 5th errorbar')


    fig.suptitle('Errorbar subsampling for better appearance')

    plt.show()

**Total running time of the script:** ( 0 minutes  0.050 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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