code: def resolve_colors(n_colors=None, colormap=None, colors=None):
      
  
      # Work with the colormap if specified and colors is not
      if colormap is not None and colors is None:
          if isinstance(colormap, str):
              try:
                  colormap = cm.get_cmap(colormap)
              except ValueError as e:
                  raise YellowbrickValueError(e)
  
  
          n_colors = n_colors or len(get_color_cycle())
          _colors = list(map(colormap, np.linspace(0, 1, num=n_colors)))
  
      # Work with the color list
      elif colors is not None:
  
          # Warn if both colormap and colors is specified.
          if colormap is not None:
              warnings.warn(
                  "both colormap and colors specified; using colors"
              )
  
          _colors = list(colors) # Ensure colors is a list
  
      # Get the default colors
      else:
          _colors = get_color_cycle()
  
      # Truncate or multiple the color list according to the number of colors
      if n_colors is not None and len(_colors) != n_colors:
          _colors = [
              _colors[idx % len(_colors)] for idx in np.arange(n_colors)
          ]
  
      return _colors
docs: Generates a list of colors based on common color arguments, for example
      the name of a colormap or palette or another iterable of colors. The list
      is then truncated (or multiplied) to the specific number of requested
      colors.
  
      Parameters
      ----------
      n_colors : int, default: None
          Specify the length of the list of returned colors, which will either
          truncate or multiple the colors available. If None the length of the
          colors will not be modified.
  
      colormap : str, default: None
          The name of the matplotlib color map with which to generate colors.
  
      colors : iterable, default: None
          A collection of colors to use specifically with the plot.
  
      Returns
      -------
      colors : list
          A list of colors that can be used in matplotlib plots.
  
      Notes
      -----
      This function was originally based on a similar function in the pandas
      plotting library that has been removed in the new version of the library.