.. _sphx_glr_gallery_pyplots_pyplot_text.py:


===========
Pyplot Text
===========





.. image:: /gallery/pyplots/images/sphx_glr_pyplot_text_001.png
    :align: center





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt

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

    mu, sigma = 100, 15
    x = mu + sigma * np.random.randn(10000)

    # the histogram of the data
    n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)


    plt.xlabel('Smarts')
    plt.ylabel('Probability')
    plt.title('Histogram of IQ')
    plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
    plt.axis([40, 160, 0, 0.03])
    plt.grid(True)
    plt.show()

**Total running time of the script:** ( 0 minutes  0.039 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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