.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_01_plotting_plot_colormaps.py>`     to download the full example code or to run this example in your browser via Binder
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_examples_01_plotting_plot_colormaps.py:


Matplotlib colormaps in Nilearn
================================

Visualize HCP connectome workbench color maps shipped with Nilearn
which can be used for plotting brain images on surface.

See :ref:`surface-plotting` for surface plotting details.


.. code-block:: default

    import numpy as np
    import matplotlib.pyplot as plt

    from nilearn.plotting.cm import _cmap_d as nilearn_cmaps
    from nilearn.plotting import show








Plot color maps
----------------


.. code-block:: default


    nmaps = len(nilearn_cmaps)
    a = np.outer(np.arange(0, 1, 0.01), np.ones(10))

    # Initialize the figure
    plt.figure(figsize=(10, 4.2))
    plt.subplots_adjust(top=0.4, bottom=0.05, left=0.01, right=0.99)

    for index, cmap in enumerate(nilearn_cmaps):
        plt.subplot(1, nmaps + 1, index + 1)
        plt.imshow(a, cmap=nilearn_cmaps[cmap])
        plt.axis('off')
        plt.title(cmap, fontsize=10, va='bottom', rotation=90)




.. image:: /auto_examples/01_plotting/images/sphx_glr_plot_colormaps_001.png
    :alt: cold_hot, cold_hot_r, cold_white_hot, cold_white_hot_r, brown_blue, brown_blue_r, cyan_copper, cyan_copper_r, cyan_orange, cyan_orange_r, blue_red, blue_red_r, brown_cyan, brown_cyan_r, purple_green, purple_green_r, purple_blue, purple_blue_r, blue_orange, blue_orange_r, black_blue, black_blue_r, black_purple, black_purple_r, black_pink, black_pink_r, black_green, black_green_r, black_red, black_red_r, ocean_hot, ocean_hot_r, hot_white_bone, hot_white_bone_r, hot_black_bone, hot_black_bone_r, bwr, bwr_r, red_transparent, red_transparent_full_alpha_range, green_transparent, green_transparent_full_alpha_range, blue_transparent, blue_transparent_full_alpha_range, roy_big_bl, videen_style
    :class: sphx-glr-single-img





Plot matplotlib color maps
--------------------------


.. code-block:: default

    plt.figure(figsize=(10, 5))
    plt.subplots_adjust(top=0.8, bottom=0.05, left=0.01, right=0.99)
    deprecated_cmaps = ['Vega10', 'Vega20', 'Vega20b', 'Vega20c', 'spectral']
    m_cmaps = []
    for m in plt.cm.datad:
        if not m.endswith("_r") and m not in deprecated_cmaps:
            m_cmaps.append(m)
    m_cmaps.sort()

    for index, cmap in enumerate(m_cmaps):
        plt.subplot(1, len(m_cmaps) + 1, index + 1)
        plt.imshow(a, cmap=plt.get_cmap(cmap), aspect='auto')
        plt.axis('off')
        plt.title(cmap, fontsize=10, va='bottom', rotation=90)

    show()



.. image:: /auto_examples/01_plotting/images/sphx_glr_plot_colormaps_002.png
    :alt: Accent, Blues, BrBG, BuGn, BuPu, CMRmap, Dark2, GnBu, Greens, Greys, OrRd, Oranges, PRGn, Paired, Pastel1, Pastel2, PiYG, PuBu, PuBuGn, PuOr, PuRd, Purples, RdBu, RdGy, RdPu, RdYlBu, RdYlGn, Reds, Set1, Set2, Set3, Spectral, Wistia, YlGn, YlGnBu, YlOrBr, YlOrRd, afmhot, autumn, binary, bone, brg, bwr, cool, coolwarm, copper, cubehelix, flag, gist_earth, gist_gray, gist_heat, gist_ncar, gist_rainbow, gist_stern, gist_yarg, gnuplot, gnuplot2, gray, hot, hsv, jet, nipy_spectral, ocean, pink, prism, rainbow, seismic, spring, summer, tab10, tab20, tab20b, tab20c, terrain, winter
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  1.883 seconds)


.. _sphx_glr_download_auto_examples_01_plotting_plot_colormaps.py:


.. only :: html

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


  .. container:: binder-badge

    .. image:: https://mybinder.org/badge_logo.svg
      :target: https://mybinder.org/v2/gh/nilearn/nilearn.github.io/master?filepath=examples/auto_examples/01_plotting/plot_colormaps.ipynb
      :width: 150 px


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

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



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

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


.. only:: html

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

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