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

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

.. _sphx_glr_intro_numpy_auto_examples_plot_populations.py:


Population exercise
===================

Plot populations of hares, lynxes, and carrots





.. image:: /intro/numpy/auto_examples/images/sphx_glr_plot_populations_001.png
    :class: sphx-glr-single-img





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt

    data = np.loadtxt('../../../data/populations.txt')
    year, hares, lynxes, carrots = data.T

    plt.axes([0.2, 0.1, 0.5, 0.8])
    plt.plot(year, hares, year, lynxes, year, carrots)
    plt.legend(('Hare', 'Lynx', 'Carrot'), loc=(1.05, 0.5))
    plt.show()

**Total running time of the script:** ( 0 minutes  0.016 seconds)


.. _sphx_glr_download_intro_numpy_auto_examples_plot_populations.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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