

.. _sphx_glr_gallery_pylab_examples_errorbar_limits.py:


===============
Errorbar Limits
===============

Illustration of upper and lower limit symbols on errorbars




.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /gallery/pylab_examples/images/sphx_glr_errorbar_limits_000.png
            :scale: 47

    *

      .. image:: /gallery/pylab_examples/images/sphx_glr_errorbar_limits_001.png
            :scale: 47





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt

    fig = plt.figure(0)
    x = np.arange(10.0)
    y = np.sin(np.arange(10.0)/20.0*np.pi)

    plt.errorbar(x, y, yerr=0.1)

    y = np.sin(np.arange(10.0)/20.0*np.pi) + 1
    plt.errorbar(x, y, yerr=0.1, uplims=True)

    y = np.sin(np.arange(10.0)/20.0*np.pi) + 2
    upperlimits = np.array([1, 0]*5)
    lowerlimits = np.array([0, 1]*5)
    plt.errorbar(x, y, yerr=0.1, uplims=upperlimits, lolims=lowerlimits)

    plt.xlim(-1, 10)

    fig = plt.figure(1)
    x = np.arange(10.0)/10.0
    y = (x + 0.1)**2

    plt.errorbar(x, y, xerr=0.1, xlolims=True)
    y = (x + 0.1)**3

    plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits)

    y = (x + 0.1)**4
    plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True)

    plt.xlim(-0.2, 2.4)
    plt.ylim(-0.1, 1.3)

    plt.show()

**Total running time of the script:** ( 0 minutes  0.157 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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