""" =========================================== Selecting individual colors from a colormap =========================================== Sometimes we want to use more colors or a different set of colors than the default color cycle provides. Selecting individual colors from one of the provided colormaps can be a convenient way to do this. We can retrieve colors from any `.Colormap` by calling it with a float or a list of floats in the range [0, 1]; e.g. ``cmap(0.5)`` will give the middle color. See also `.Colormap.__call__`. Extracting colors from a continuous colormap -------------------------------------------- """ import matplotlib.pyplot as plt import numpy as np import matplotlib as mpl n_lines = 21 cmap = mpl.colormaps['plasma'] # Take colors at regular intervals spanning the colormap. colors = cmap(np.linspace(0, 1, n_lines)) fig, ax = plt.subplots(layout='constrained') for i, color in enumerate(colors): ax.plot([0, i], color=color) plt.show() # %% # # Extracting colors from a discrete colormap # ------------------------------------------ # The list of all colors in a `.ListedColormap` is available as the ``colors`` # attribute. Note that all the colors from Matplotlib's qualitative color maps # are also available as color sequences, so may be accessed more directly from # the color sequence registry. See :doc:`/gallery/color/color_sequences`. colors = mpl.colormaps['Dark2'].colors fig, ax = plt.subplots(layout='constrained') for i, color in enumerate(colors): ax.plot([0, i], color=color) plt.show() # %% # See Also # -------- # # For more details about manipulating colormaps, see :ref:`colormap-manipulation`. To # change the default color cycle, see :ref:`color_cycle`. # # .. admonition:: References # # The use of the following functions, methods, classes and modules is shown # in this example: # # - `matplotlib.colors.Colormap` # - `matplotlib.colors.Colormap.resampled` # # .. tags:: # # component: colormap # styling: color # plot-type: line # level: intermediate