.. only:: html .. 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_surface3d.py: ====================== 3D surface (color map) ====================== Demonstrates plotting a 3D surface colored with the coolwarm color map. The surface is made opaque by using antialiased=False. Also demonstrates using the LinearLocator and custom formatting for the z axis tick labels. .. code-block:: default import matplotlib.pyplot as plt from matplotlib import cm from matplotlib.ticker import LinearLocator import numpy as np fig, ax = plt.subplots(subplot_kw={"projection": "3d"}) # Make data. X = np.arange(-5, 5, 0.25) Y = np.arange(-5, 5, 0.25) X, Y = np.meshgrid(X, Y) R = np.sqrt(X**2 + Y**2) Z = np.sin(R) # Plot the surface. surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm, linewidth=0, antialiased=False) # Customize the z axis. ax.set_zlim(-1.01, 1.01) ax.zaxis.set_major_locator(LinearLocator(10)) # A StrMethodFormatter is used automatically ax.zaxis.set_major_formatter('{x:.02f}') # Add a color bar which maps values to colors. fig.colorbar(surf, shrink=0.5, aspect=5) plt.show() .. image:: /gallery/mplot3d/images/sphx_glr_surface3d_001.png :alt: surface3d :class: sphx-glr-single-img ------------ References """""""""" The use of the following functions, methods, classes and modules is shown in this example: .. code-block:: default import matplotlib matplotlib.pyplot.subplots matplotlib.axis.Axis.set_major_formatter matplotlib.axis.Axis.set_major_locator matplotlib.ticker.LinearLocator matplotlib.ticker.StrMethodFormatter .. _sphx_glr_download_gallery_mplot3d_surface3d.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: surface3d.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: surface3d.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_