.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/01_plotting/plot_colormaps.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <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.

.. GENERATED FROM PYTHON SOURCE LINES 12-14

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

.. GENERATED FROM PYTHON SOURCE LINES 14-37

.. code-block:: Python

    try:
        import matplotlib.pyplot as plt
    except ImportError:
        raise RuntimeError("This script needs the matplotlib library")

    import numpy as np

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

    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-sg:: /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
   :srcset: /auto_examples/01_plotting/images/sphx_glr_plot_colormaps_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 38-40

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

.. GENERATED FROM PYTHON SOURCE LINES 40-59

.. code-block:: Python


    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 = [
        m
        for m in plt.cm.datad
        if not m.endswith("_r") and m not in deprecated_cmaps
    ]
    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-sg:: /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
   :srcset: /auto_examples/01_plotting/images/sphx_glr_plot_colormaps_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 3.689 seconds)

**Estimated memory usage:**  18 MB


.. _sphx_glr_download_auto_examples_01_plotting_plot_colormaps.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/nilearn/nilearn/main?urlpath=lab/tree/notebooks/auto_examples/01_plotting/plot_colormaps.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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