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Merge pull request #23721 from scottshambaugh/3d_axes_view_docs
3d plot view angle documentation
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doc/_static/mplot3d_view_angles.png

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doc/api/toolkits/mplot3d.rst

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The interactive backends also provide the ability to rotate and zoom the 3D
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scene. One can rotate the 3D scene by simply clicking-and-dragging the scene.
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Zooming is done by right-clicking the scene and dragging the mouse up and down
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(unlike 2D plots, the toolbar zoom button is not used).
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Panning is done by clicking the middle mouse button, and zooming is done by
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right-clicking the scene and dragging the mouse up and down. Unlike 2D plots,
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the toolbar pan and zoom buttons are not used.
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.. toctree::
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:maxdepth: 2
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mplot3d/faq.rst
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mplot3d/view_angles.rst
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.. note::
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`.pyplot` cannot be used to add content to 3D plots, because its function
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.. _toolkit_mplot3d-view-angles:
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*******************
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mplot3d View Angles
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*******************
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How to define the view angle
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============================
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The position of the viewport "camera" in a 3D plot is defined by three angles:
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*elevation*, *azimuth*, and *roll*. From the resulting position, it always
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points towards the center of the plot box volume. The angle direction is a
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common convention, and is shared with
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`PyVista <https://docs.pyvista.org/api/core/camera.html>`_ and
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`MATLAB <https://www.mathworks.com/help/matlab/ref/view.html>`_
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(though MATLAB lacks a roll angle). Note that a positive roll angle rotates the
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viewing plane clockwise, so the 3d axes will appear to rotate
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counter-clockwise.
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.. image:: /_static/mplot3d_view_angles.png
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:align: center
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:scale: 50
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Rotating the plot using the mouse will control only the azimuth and elevation,
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but all three angles can be set programmatically::
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import matplotlib.pyplot as plt
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ax = plt.figure().add_subplot(projection='3d')
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ax.view_init(elev=30, azim=45, roll=15)
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Primary view planes
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===================
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To look directly at the primary view planes, the required elevation, azimuth,
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and roll angles are shown in the diagram of an "unfolded" plot below. These are
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further documented in the `.mplot3d.axes3d.Axes3D.view_init` API.
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.. plot:: gallery/mplot3d/view_planes_3d.py
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:align: center

examples/mplot3d/view_planes_3d.py

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"""
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======================
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Primary 3D view planes
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======================
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This example generates an "unfolded" 3D plot that shows each of the primary 3D
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view planes. The elevation, azimuth, and roll angles required for each view are
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labeled. You could print out this image and fold it into a box where each plane
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forms a side of the box.
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"""
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import matplotlib.pyplot as plt
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def annotate_axes(ax, text, fontsize=18):
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ax.text(x=0.5, y=0.5, z=0.5, s=text,
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va="center", ha="center", fontsize=fontsize, color="black")
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# (plane, (elev, azim, roll))
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views = [('XY', (90, -90, 0)),
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('XZ', (0, -90, 0)),
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('YZ', (0, 0, 0)),
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('-XY', (-90, 90, 0)),
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('-XZ', (0, 90, 0)),
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('-YZ', (0, 180, 0))]
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layout = [['XY', '.', 'L', '.'],
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['XZ', 'YZ', '-XZ', '-YZ'],
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['.', '.', '-XY', '.']]
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fig, axd = plt.subplot_mosaic(layout, subplot_kw={'projection': '3d'},
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figsize=(12, 8.5))
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for plane, angles in views:
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axd[plane].set_xlabel('x')
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axd[plane].set_ylabel('y')
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axd[plane].set_zlabel('z')
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axd[plane].set_proj_type('ortho')
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axd[plane].view_init(elev=angles[0], azim=angles[1], roll=angles[2])
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axd[plane].set_box_aspect(None, zoom=1.25)
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label = f'{plane}\n{angles}'
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annotate_axes(axd[plane], label, fontsize=14)
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for plane in ('XY', '-XY'):
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axd[plane].set_zticklabels([])
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axd[plane].set_zlabel('')
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for plane in ('XZ', '-XZ'):
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axd[plane].set_yticklabels([])
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axd[plane].set_ylabel('')
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for plane in ('YZ', '-YZ'):
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axd[plane].set_xticklabels([])
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axd[plane].set_xlabel('')
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label = 'mplot3d primary view planes\n' + 'ax.view_init(elev, azim, roll)'
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annotate_axes(axd['L'], label, fontsize=18)
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axd['L'].set_axis_off()
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plt.show()

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