.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_mplot3d_tricontourf3d.py: ================================= Triangular 3D filled contour plot ================================= Filled contour plots of unstructured triangular grids. The data used is the same as in the second plot of trisurf3d_demo2. tricontour3d_demo shows the unfilled version of this example. .. image:: /gallery/mplot3d/images/sphx_glr_tricontourf3d_001.png :class: sphx-glr-single-img .. code-block:: default import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np # First create the x, y, z coordinates of the points. n_angles = 48 n_radii = 8 min_radius = 0.25 # Create the mesh in polar coordinates and compute x, y, z. radii = np.linspace(min_radius, 0.95, n_radii) angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False) angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1) angles[:, 1::2] += np.pi/n_angles x = (radii*np.cos(angles)).flatten() y = (radii*np.sin(angles)).flatten() z = (np.cos(radii)*np.cos(3*angles)).flatten() # Create a custom triangulation. triang = tri.Triangulation(x, y) # Mask off unwanted triangles. triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1), y[triang.triangles].mean(axis=1)) < min_radius) fig = plt.figure() ax = fig.gca(projection='3d') ax.tricontourf(triang, z, cmap=plt.cm.CMRmap) # Customize the view angle so it's easier to understand the plot. ax.view_init(elev=45.) plt.show() .. _sphx_glr_download_gallery_mplot3d_tricontourf3d.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: tricontourf3d.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: tricontourf3d.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_