code: def plot_hdi(
      ax,
      x_data,
      y_data,
      color,
      figsize,
      plot_kwargs,
      fill_kwargs,
      backend_kwargs,
      show,
  ):
      """Bokeh HDI plot."""
      if backend_kwargs is None:
          backend_kwargs = {}
  
      backend_kwargs = {
          **backend_kwarg_defaults(),
          **backend_kwargs,
      }
  
      plot_kwargs = {} if plot_kwargs is None else plot_kwargs
      plot_kwargs["color"] = vectorized_to_hex(
          plot_kwargs.get("color", color)
      )
      plot_kwargs.setdefault("alpha", 0)
  
      fill_kwargs = {} if fill_kwargs is None else fill_kwargs
      fill_kwargs["color"] = vectorized_to_hex(
          fill_kwargs.get("color", color)
      )
      fill_kwargs.setdefault("alpha", 0.5)
  
      figsize, *_ = _scale_fig_size(figsize, None)
  
      if ax is None:
          ax = create_axes_grid(
              1,
              figsize=figsize,
              squeeze=True,
              backend_kwargs=backend_kwargs,
          )
  
      plot_kwargs.setdefault("line_color", plot_kwargs.pop("color"))
      plot_kwargs.setdefault("line_alpha", plot_kwargs.pop("alpha", 0))
  
      fill_kwargs.setdefault("fill_color", fill_kwargs.pop("color"))
      fill_kwargs.setdefault("fill_alpha", fill_kwargs.pop("alpha", 0))
  
      ax.patch(
          np.concatenate((x_data, x_data[::-1])),
          np.concatenate((y_data[:, 0], y_data[:, 1][::-1])),
          **fill_kwargs,
          **plot_kwargs,
      )
  
      show_layout(ax, show)
  
      return ax
  
imports: import numpy
  from ...plot_utils import _scale_fig_size, vectorized_to_hex
  from ..None import show_layout
  from .None import backend_kwarg_defaults, create_axes_grid
label_desc: Use image node_id 1 for calling a global function with example usage: plot_hdi(ax, x_data, y_data, color, figsize, plot_kwargs, fill_kwargs, backend_kwargs, show) and returns: ax