.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/mplot3d/box3d.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. meta::
        :keywords: codex

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_mplot3d_box3d.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_mplot3d_box3d.py:


===================
3D box surface plot
===================

Given data on a gridded volume ``X``, ``Y``, ``Z``, this example plots the
data values on the volume surfaces.

The strategy is to select the data from each surface and plot
contours separately using `.axes3d.Axes3D.contourf` with appropriate
parameters *zdir* and *offset*.

.. GENERATED FROM PYTHON SOURCE LINES 13-79



.. image-sg:: /gallery/mplot3d/images/sphx_glr_box3d_001.png
   :alt: box3d
   :srcset: /gallery/mplot3d/images/sphx_glr_box3d_001.png, /gallery/mplot3d/images/sphx_glr_box3d_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    # Define dimensions
    Nx, Ny, Nz = 100, 300, 500
    X, Y, Z = np.meshgrid(np.arange(Nx), np.arange(Ny), -np.arange(Nz))

    # Create fake data
    data = (((X+100)**2 + (Y-20)**2 + 2*Z)/1000+1)

    kw = {
        'vmin': data.min(),
        'vmax': data.max(),
        'levels': np.linspace(data.min(), data.max(), 10),
    }

    # Create a figure with 3D ax
    fig = plt.figure(figsize=(5, 4))
    ax = fig.add_subplot(111, projection='3d')

    # Plot contour surfaces
    _ = ax.contourf(
        X[:, :, 0], Y[:, :, 0], data[:, :, 0],
        zdir='z', offset=0, **kw
    )
    _ = ax.contourf(
        X[0, :, :], data[0, :, :], Z[0, :, :],
        zdir='y', offset=0, **kw
    )
    C = ax.contourf(
        data[:, -1, :], Y[:, -1, :], Z[:, -1, :],
        zdir='x', offset=X.max(), **kw
    )
    # --


    # Set limits of the plot from coord limits
    xmin, xmax = X.min(), X.max()
    ymin, ymax = Y.min(), Y.max()
    zmin, zmax = Z.min(), Z.max()
    ax.set(xlim=[xmin, xmax], ylim=[ymin, ymax], zlim=[zmin, zmax])

    # Plot edges
    edges_kw = dict(color='0.4', linewidth=1, zorder=1e3)
    ax.plot([xmax, xmax], [ymin, ymax], 0, **edges_kw)
    ax.plot([xmin, xmax], [ymin, ymin], 0, **edges_kw)
    ax.plot([xmax, xmax], [ymin, ymin], [zmin, zmax], **edges_kw)

    # Set labels and zticks
    ax.set(
        xlabel='X [km]',
        ylabel='Y [km]',
        zlabel='Z [m]',
        zticks=[0, -150, -300, -450],
    )

    # Set zoom and angle view
    ax.view_init(40, -30, 0)
    ax.set_box_aspect(None, zoom=0.9)

    # Colorbar
    fig.colorbar(C, ax=ax, fraction=0.02, pad=0.1, label='Name [units]')

    # Show Figure
    plt.show()


.. _sphx_glr_download_gallery_mplot3d_box3d.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: box3d.ipynb <box3d.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: box3d.py <box3d.py>`


.. only:: html

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

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