.. 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_auto_examples_webgl_multiple_datasets.py:
===============================================
Create a 3D WebGL Viewer with Multiple Datasets
===============================================
A webgl viewer displays a 3D view of brain data in a web browser
Multiple datasets can be loaded into the same viewer
The `priority` kwarg passed to Volume objects determines the display ordering
Lower values of `priority` are displayed first
In the browser you can switch between datasets with the + and - keys
.. code-block:: default
    import cortex
    import numpy as np
    np.random.seed(1234)
    # gather multiple datasets
    volume1 = cortex.Volume.random(subject='S1', xfmname='fullhead', priority=1)
    volume2 = cortex.Volume.random(subject='S1', xfmname='fullhead', priority=2)
    volume3 = cortex.Volume.random(subject='S1', xfmname='fullhead', priority=3)
    volumes = {
    	'First Dataset': volume1,
    	'Second Dataset': volume2,
    	'Third Dataset': volume3,
    }
    # create viewer
    cortex.webgl.show(data=volumes)
    # a port number will then be output, for example "Started server on port 39140"
    # the viewer can then be accessed in a web browser, in this case at "localhost:39140"
.. rst-class:: sphx-glr-timing
   **Total running time of the script:** ( 0 minutes  0.000 seconds)
.. _sphx_glr_download_auto_examples_webgl_multiple_datasets.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: multiple_datasets.py `
  .. container:: sphx-glr-download sphx-glr-download-jupyter
     :download:`Download Jupyter notebook: multiple_datasets.ipynb `
.. only:: html
 .. rst-class:: sphx-glr-signature
    `Gallery generated by Sphinx-Gallery `_