class_docstr: Refer to FigureFactory.create_dendrogram() for docstring.
class_docstr_tok: ["Refer","to","FigureFactory.create_dendrogram","(",")","for","docstring","."]
docstr: Returns colorscale used for dendrogram tree clusters.
  
  :param (list) colorscale: Colors to use for the plot in rgb format.
  :rtype (dict): A dict of default colors mapped to the user colorscale.
docstr_tok: ["Returns","colorscale","used","for","dendrogram","tree","clusters",".",":","param","(","list",")","colorscale",":","Colors","to","use","for","the","plot","in","rgb","format",".",":","rtype","(","dict",")",":","A","dict","of","default","colors","mapped","to","the","user","colorscale","."]
code: def get_color_dict(self, colorscale):
      """
      Returns colorscale used for dendrogram tree clusters.
  
      :param (list) colorscale: Colors to use for the plot in rgb format.
      :rtype (dict): A dict of default colors mapped to the user colorscale.
  
      """
  
      # These are the color codes returned for dendrograms
      # We're replacing them with nicer colors
      # This list is the colors that can be used by dendrogram, which were
      # determined as the combination of the default above_threshold_color and
      # the default color palette (see scipy/cluster/hierarchy.py)
      d = {
          "r": "red",
          "g": "green",
          "b": "blue",
          "c": "cyan",
          "m": "magenta",
          "y": "yellow",
          "k": "black",
          # TODO: 'w' doesn't seem to be in the default color
          # palette in scipy/cluster/hierarchy.py
          "w": "white",
      }
      default_colors = OrderedDict(
          sorted(d.items(), key=lambda t: t[0])
      )
  
      if colorscale is None:
          rgb_colorscale = [
              "rgb(0,116,217)",  # blue
              "rgb(35,205,205)",  # cyan
              "rgb(61,153,112)",  # green
              "rgb(40,35,35)",  # black
              "rgb(133,20,75)",  # magenta
              "rgb(255,65,54)",  # red
              "rgb(255,255,255)",  # white
              "rgb(255,220,0)",  # yellow
          ]
      else:
          rgb_colorscale = colorscale
  
      for i in range(len(default_colors.keys())):
          k = list(default_colors.keys())[i]  # PY3 won't index keys
          if i < len(rgb_colorscale):
              default_colors[k] = rgb_colorscale[i]
  
      # add support for cyclic format colors as introduced in scipy===1.5.0
      # before this, the colors were named 'r', 'b', 'y' etc., now they are
      # named 'C0', 'C1', etc. To keep the colors consistent regardless of the
      # scipy version, we try as much as possible to map the new colors to the
      # old colors
      # this mapping was found by inpecting scipy/cluster/hierarchy.py (see
      # comment above).
      new_old_color_map = [
          ("C0", "b"),
          ("C1", "g"),
          ("C2", "r"),
          ("C3", "c"),
          ("C4", "m"),
          ("C5", "y"),
          ("C6", "k"),
          ("C7", "g"),
          ("C8", "r"),
          ("C9", "c"),
      ]
      for nc, oc in new_old_color_map:
          try:
              default_colors[nc] = default_colors[oc]
          except KeyError:
              # it could happen that the old color isn't found (if a custom
              # colorscale was specified), in this case we set it to an
              # arbitrary default.
              default_colors[n] = "rgb(0,116,217)"
  
      return default_colors
  
file_path: plotly.py/packages/python/plotly/plotly/figure_factory/_dendrogram.py
imports: from collections import OrderedDict
  from plotly import exceptions, optional_imports
  from plotly.graph_objs import graph_objs
label_desc: Use image node_id 2 for calling the _Dendrogram obj's underlying member method code with example usage: obj.get_color_dict(colorscale) and returns: default_colors