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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_quickflat_plot_advanced_compositing.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_quickflat_plot_advanced_compositing.py:


==============================
Plot with advanced compositing
==============================

The way flatmap plotting works in pycortex is to create different image
layers (data, ROIs, sulci, etc) and overlay each on top of the other. 
Usually, quickflat.make_figure() handles all this for you, but each 
layer can be manipulated independently for fancier effects with the 
quickflat.composite sub-module. 

.. GENERATED FROM PYTHON SOURCE LINES 12-48



.. image-sg:: /auto_examples/quickflat/images/sphx_glr_plot_advanced_compositing_001.png
   :alt: plot advanced compositing
   :srcset: /auto_examples/quickflat/images/sphx_glr_plot_advanced_compositing_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

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 .. code-block:: none

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|

.. code-block:: default


    import cortex
    import matplotlib.pyplot as plt

    # Create a random volume
    volume = cortex.Volume.random(subject='S1', xfmname='fullhead')

    # Create basic figure, with rois, labels, sulci all off
    fig = cortex.quickflat.make_figure(volume, 
                                       with_curvature=True, 
                                       with_rois=False, 
                                       with_labels=False, 
                                       with_sulci=False)
    # Add sulci in light yellow
    _ = cortex.quickflat.composite.add_sulci(fig, volume,
                                             with_labels=False,
                                             linewidth=2,
                                             linecolor=(0.9, 0.85, 0.5))
    # Add all rois, with a particular color scheme:
    _ = cortex.quickflat.composite.add_rois(fig, volume,
                                            with_labels=False,
                                            linewidth=1,
                                            linecolor=(0.8, 0.8, 0.8))
    # Highlight face- and body-selective ROIs:
    _ = cortex.quickflat.composite.add_rois(fig, volume,
                                            roi_list=['FFA', 'EBA', 'OFA'],  # (This defaults to all rois if not specified)
                                            with_labels=True,
                                            linewidth=5,
                                            linecolor=(0.9, 0.5, 0.5),
                                            labelcolor=(0.9, 0.5, 0.5),
                                            labelsize=20,
                                            roifill=(0.9, 0.5, 0.5),
                                            fillalpha=0.35,
                                            dashes=(5, 3)                    # Dash length & gap btw dashes
                                            )
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  5.141 seconds)


.. _sphx_glr_download_auto_examples_quickflat_plot_advanced_compositing.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: plot_advanced_compositing.py <plot_advanced_compositing.py>`



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

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


.. only:: html

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

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