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

    Click :ref:`here <sphx_glr_download_intro_matplotlib_auto_examples_exercises_plot_exercise_2.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_intro_matplotlib_auto_examples_exercises_plot_exercise_2.py:


Exercise 2
===========

Exercise 2 with matplotlib.




.. image:: /intro/matplotlib/auto_examples/exercises/images/sphx_glr_plot_exercise_2_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt

    # Create a new figure of size 8x6 points, using 100 dots per inch
    plt.figure(figsize=(8, 6), dpi=80)

    # Create a new subplot from a grid of 1x1
    plt.subplot(111)

    X = np.linspace(-np.pi, np.pi, 256)
    C, S = np.cos(X), np.sin(X)

    # Plot cosine using blue color with a continuous line of width 1 (pixels)
    plt.plot(X, C, color="blue", linewidth=1.0, linestyle="-")

    # Plot sine using green color with a continuous line of width 1 (pixels)
    plt.plot(X, S, color="green", linewidth=1.0, linestyle="-")

    # Set x limits
    plt.xlim(-4., 4.)

    # Set x ticks
    plt.xticks(np.linspace(-4, 4, 9))

    # Set y limits
    plt.ylim(-1.0, 1.0)

    # Set y ticks
    plt.yticks(np.linspace(-1, 1, 5))

    # Show result on screen
    plt.show()

**Total running time of the script:** ( 0 minutes  0.019 seconds)


.. _sphx_glr_download_intro_matplotlib_auto_examples_exercises_plot_exercise_2.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_exercise_2.py <plot_exercise_2.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_exercise_2.ipynb <plot_exercise_2.ipynb>`


.. only:: html

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

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