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scipy.cluster.hierarchy.

# set_link_color_palette

scipy.cluster.hierarchy.set_link_color_palette(palette)

  Set list of matplotlib color codes for use by dendrogram.

  Note that this palette is global (i.e., setting it once changes the colors for all subsequent calls to `dendrogram`) and that it affects only the the colors below `color_threshold`.

  Note that `dendrogram` also accepts a custom coloring function through its `link_color_func` keyword, which is more flexible and non-global.

  Parameters:
    palettelist of str or None

      A list of matplotlib color codes. The order of the color codes is the order in which the colors are cycled through when color thresholding in the dendrogram.

      If `None`, resets the palette to its default (which are matplotlib default colors C1 to C9).

  Returns:
    None

  See also

  `dendrogram`

  Notes

  Ability to reset the palette with `None` added in SciPy 0.17.0.

  Thread safety: using this function in a multi-threaded fashion may result in `dendrogram` producing plots with unexpected colors.

  Examples

      >>> import numpy as np
      >>> from scipy.cluster import hierarchy
      >>> ytdist = np.array([662., 877., 255., 412., 996., 295., 468., 268.,
      ...                    400., 754., 564., 138., 219., 869., 669.])
      >>> Z = hierarchy.linkage(ytdist, 'single')
      >>> dn = hierarchy.dendrogram(Z, no_plot=True)
      >>> dn['color_list']
      ['C1', 'C0', 'C0', 'C0', 'C0']
      >>> hierarchy.set_link_color_palette(['c', 'm', 'y', 'k'])
      >>> dn = hierarchy.dendrogram(Z, no_plot=True, above_threshold_color='b')
      >>> dn['color_list']
      ['c', 'b', 'b', 'b', 'b']
      >>> dn = hierarchy.dendrogram(Z, no_plot=True, color_threshold=267,
      ...                           above_threshold_color='k')
      >>> dn['color_list']
      ['c', 'm', 'm', 'k', 'k']

  Now, reset the color palette to its default:

      >>> hierarchy.set_link_color_palette(None)