.. _sphx_glr_gallery_color_colormap_reference.py: ================== Colormap reference ================== Reference for colormaps included with Matplotlib. A reversed version of each of these colormaps is available by appending ``_r`` to the name, e.g., ``viridis_r``. See :doc:`/tutorials/colors/colormaps` for an in-depth discussion about colormaps, including colorblind-friendliness. .. rst-class:: sphx-glr-horizontal * .. image:: /gallery/color/images/sphx_glr_colormap_reference_001.png :scale: 47 * .. image:: /gallery/color/images/sphx_glr_colormap_reference_002.png :scale: 47 * .. image:: /gallery/color/images/sphx_glr_colormap_reference_003.png :scale: 47 * .. image:: /gallery/color/images/sphx_glr_colormap_reference_004.png :scale: 47 * .. image:: /gallery/color/images/sphx_glr_colormap_reference_005.png :scale: 47 * .. image:: /gallery/color/images/sphx_glr_colormap_reference_006.png :scale: 47 .. code-block:: python import numpy as np import matplotlib.pyplot as plt cmaps = [('Perceptually Uniform Sequential', [ 'viridis', 'plasma', 'inferno', 'magma', 'cividis']), ('Sequential', [ 'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds', 'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu', 'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']), ('Sequential (2)', [ 'binary', 'gist_yarg', 'gist_gray', 'gray', 'bone', 'pink', 'spring', 'summer', 'autumn', 'winter', 'cool', 'Wistia', 'hot', 'afmhot', 'gist_heat', 'copper']), ('Diverging', [ 'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu', 'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic']), ('Qualitative', [ 'Pastel1', 'Pastel2', 'Paired', 'Accent', 'Dark2', 'Set1', 'Set2', 'Set3', 'tab10', 'tab20', 'tab20b', 'tab20c']), ('Miscellaneous', [ 'flag', 'prism', 'ocean', 'gist_earth', 'terrain', 'gist_stern', 'gnuplot', 'gnuplot2', 'CMRmap', 'cubehelix', 'brg', 'hsv', 'gist_rainbow', 'rainbow', 'jet', 'nipy_spectral', 'gist_ncar'])] nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps) gradient = np.linspace(0, 1, 256) gradient = np.vstack((gradient, gradient)) def plot_color_gradients(cmap_category, cmap_list, nrows): fig, axes = plt.subplots(nrows=nrows) fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99) axes[0].set_title(cmap_category + ' colormaps', fontsize=14) for ax, name in zip(axes, cmap_list): ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name)) pos = list(ax.get_position().bounds) x_text = pos[0] - 0.01 y_text = pos[1] + pos[3]/2. fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10) # Turn off *all* ticks & spines, not just the ones with colormaps. for ax in axes: ax.set_axis_off() for cmap_category, cmap_list in cmaps: plot_color_gradients(cmap_category, cmap_list, nrows) plt.show() .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: colormap_reference.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: colormap_reference.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_