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 plot_matplotlib(self):
      fig, inner_grids, title_axes = self.plot_style.make_subplots()
      axes = {"title_axes": title_axes, "bar_axes": [], "box_axes": []}
  
      for i, class_idx in enumerate(self.which_classes):
          target, box_df, line_df, box_color = self.prepare_data(
              class_idx
          )
          box_axes, bar_axes = self.prepare_axes(inner_grids[i])
  
          self._draw_boxplot(box_df, line_df, box_axes, box_color)
          self._draw_barplot(bar_axes)
  
          self.wrapup(target, bar_axes, None, box_axes)
          axes["bar_axes"].append(bar_axes)
          axes["box_axes"].append(box_axes)
  
      return fig, 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 5 for calling the PredictPlotEngine obj's underlying member method code with example usage: obj.plot_matplotlib() and returns: fig,  axes