.. _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 0.036 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: contour.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: contour.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_