.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/3Dvispy/15_3D_rgb_volume.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_gallery_3Dvispy_15_3D_rgb_volume.py>`
        to download the full example code.

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

.. _sphx_glr_gallery_3Dvispy_15_3D_rgb_volume.py:


3D RGB/RGBA volume, i.e., 4D array
========================================

Display a 3D RGB/RGBA volume, whose shape could be (ni, nx, nt, 3/4) or (3/4, ni, nx, nt).

This would be useful for analyzing the inner features of a deep 3D network (using PCA to keep the most important three features).

.. image:: ../../_static/cigvis/3Dvispy/15.png
    :alt: image
    :align: center

.. GENERATED FROM PYTHON SOURCE LINES 17-46

.. code-block:: Python


    # sphinx_gallery_thumbnail_path = '_static/cigvis/3Dvispy/15.png'

    import numpy as np
    import cigvis 

    from pathlib import Path
    root = Path(__file__).resolve().parent.parent.parent

    seisp = root / 'data/co2/sx.dat'
    ni, nx, nt = 192, 192, 240
    data = np.fromfile(seisp, np.float32).reshape(ni, nx, nt)
    data = (data - data.min()) / (data.max() - data.min())

    ### FP32, RGBA volume's range should be in [0, 1]
    sx = np.zeros((ni, nx, nt, 4)).astype(np.float32)
    sx[:, :, :, 0] = data 
    sx[:, :, :, 1] = data + 0.2
    sx[:, :, :, 2] = data - 0.2
    sx[:, :, :, 3] = np.random.randn(ni, nx, nt)
    sx = np.clip(sx, 0, 1)

    ### UINT8, RGBA volume's range should be in [0, 255]
    sx = (sx * 255).astype(np.uint8)

    ### `cmap` will be ignored
    nodes = cigvis.create_slices(sx, pos=[[10, ni//2, ni-10], [10, nx//2, nx-10], [10, nt//2, nt-10]])

    cigvis.plot3D(nodes, view=cigvis.Plot3DView(size=(700, 600)))


.. _sphx_glr_download_gallery_3Dvispy_15_3D_rgb_volume.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: 15_3D_rgb_volume.ipynb <15_3D_rgb_volume.ipynb>`

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

      :download:`Download Python source code: 15_3D_rgb_volume.py <15_3D_rgb_volume.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: 15_3D_rgb_volume.zip <15_3D_rgb_volume.zip>`


.. only:: html

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

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