class_docstr: Create plots for `PredictPlot`
  
  Methods
  -------
  plot_matplotlib : plot using matplotlib
  plot_plotly : plot using plotly
class_docstr_tok: ["Create","plots","for","`","PredictPlot","`","Methods","--","--","--","-","plot_matplotlib",":","plot","using","matplotlib","plot_plotly",":","plot","using","plotly"]
code: def prepare_axes(self, inner_grid):
      inner = GridSpecFromSubplotSpec(
          2,
          1,
          subplot_spec=inner_grid,
          wspace=self.plot_style.gaps["inner_x"],
          hspace=self.plot_style.gaps["inner_y"],
      )
      box_axes = plt.subplot(inner[0])
      bar_axes = plt.subplot(inner[1])
  
      return box_axes, bar_axes
  
imports: from .styles import _prepare_plot_style, _axes_modify, _display_percentile, _modify_legend_axes, _get_axes_label
  import numpy
  from itertools import cycle
  import plotly.express
  import matplotlib
  import matplotlib.pyplot
  from matplotlib.gridspec import GridSpecFromSubplotSpec
  from mpl_toolkits.axes_grid1.inset_locator import inset_axes
  import matplotlib.patheffects
  import plotly.graph_objects
label_desc: Use image node_id 3 for calling the PredictPlotEngine obj's underlying member method code with example usage: obj.prepare_axes(inner_grid) and returns: box_axes,  bar_axes