code: def convert_y_domain(mpl_plot_bounds, mpl_max_y_bounds):
      """Map y dimension of current plot to plotly's domain space.
  
      The bbox used to locate an axes object in mpl differs from the
      method used to locate axes in plotly. The mpl version locates each
      axes in the figure so that axes in a single-plot figure might have
      the bounds, [0.125, 0.125, 0.775, 0.775] (x0, y0, width, height),
      in mpl's figure coordinates. However, the axes all share one space in
      plotly such that the domain will always be [0, 0, 1, 1]
      (x0, y0, x1, y1). To convert between the two, the mpl figure bounds
      need to be mapped to a [0, 1] domain for x and y. The margins set
      upon opening a new figure will appropriately match the mpl margins.
  
      Optionally, setting margins=0 and simply copying the domains from
      mpl to plotly would place axes appropriately. However,
      this would throw off axis and title labeling.
  
      Positional arguments:
      mpl_plot_bounds -- the (x0, y0, width, height) params for current ax **
      mpl_max_y_bounds -- overall (y0, y1) bounds for all axes **
  
      ** these are all specified in mpl figure coordinates
  
      """
      mpl_y_dom = [
          mpl_plot_bounds[1],
          mpl_plot_bounds[1] + mpl_plot_bounds[3],
      ]
      plotting_height = mpl_max_y_bounds[1] - mpl_max_y_bounds[0]
      y0 = (mpl_y_dom[0] - mpl_max_y_bounds[0]) / plotting_height
      y1 = (mpl_y_dom[1] - mpl_max_y_bounds[0]) / plotting_height
      return [y0, y1]
  
imports: import math
  import datetime
  import warnings
  import matplotlib.dates
label_desc: Use image node_id 10 for calling a global function with example usage: convert_y_domain(mpl_plot_bounds, mpl_max_y_bounds) and returns: list