.. _sphx_glr_gallery_mplot3d_trisurf3d.py:


======================
Triangular 3D surfaces
======================

Plot a 3D surface with a triangular mesh.




.. image:: /gallery/mplot3d/images/sphx_glr_trisurf3d_001.png
    :align: center





.. code-block:: python


    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.pyplot as plt
    import numpy as np


    n_radii = 8
    n_angles = 36

    # Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
    radii = np.linspace(0.125, 1.0, n_radii)
    angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)

    # Repeat all angles for each radius.
    angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)

    # Convert polar (radii, angles) coords to cartesian (x, y) coords.
    # (0, 0) is manually added at this stage,  so there will be no duplicate
    # points in the (x, y) plane.
    x = np.append(0, (radii*np.cos(angles)).flatten())
    y = np.append(0, (radii*np.sin(angles)).flatten())

    # Compute z to make the pringle surface.
    z = np.sin(-x*y)

    fig = plt.figure()
    ax = fig.gca(projection='3d')

    ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)

    plt.show()

**Total running time of the script:** ( 0 minutes  0.021 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: trisurf3d.py <trisurf3d.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: trisurf3d.ipynb <trisurf3d.ipynb>`


.. only:: html

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

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