

.. _sphx_glr_gallery_frontpage_contour.py:


=========================
Frontpage contour example
=========================

This example reproduces the frontpage contour example.




.. image:: /gallery/frontpage/images/sphx_glr_contour_001.png
    :align: center





.. code-block:: python


    import matplotlib.pyplot as plt
    import numpy as np
    from matplotlib import mlab, cm

    extent = (-3, 3, -3, 3)

    delta = 0.5
    x = np.arange(-3.0, 4.001, delta)
    y = np.arange(-4.0, 3.001, delta)
    X, Y = np.meshgrid(x, y)
    Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, -0.5)
    Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
    Z = (Z1 - Z2) * 10

    levels = np.linspace(-2.0, 1.601, 40)
    norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())

    fig, ax = plt.subplots()
    cset1 = ax.contourf(
        X, Y, Z, levels,
        norm=norm)
    ax.set_xlim(-3, 3)
    ax.set_ylim(-3, 3)
    ax.set_xticks([])
    ax.set_yticks([])
    fig.savefig("contour_frontpage.png", dpi=25)  # results in 160x120 px image

**Total running time of the script:** ( 0 minutes  0.066 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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