class_docstr: Create plots for `PDPIsolate`
  
  Methods
  -------
  plot : generate the plot
  plot_matplotlib : plot using matplotlib
  plot_plotly : plot using plotly
class_docstr_tok: ["Create","plots","for","`","PDPIsolate","`","Methods","--","--","--","-","plot",":","generate","the","plot","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,
          "line_axes": [],
          "dist_axes": [],
      }
  
      for i, class_idx in enumerate(self.which_classes):
          target, _, colors = self.prepare_data(class_idx)
          line_axes, dist_axes = self.prepare_axes(inner_grids[i])
  
          self._pdp_line_plot(class_idx, colors, line_axes)
          if self.plot_style.plot_pts_dist:
              self._pdp_dist_plot(colors, dist_axes, line_axes)
              axes["dist_axes"].append(dist_axes)
  
          self.wrapup(f"pred_{target}", line_axes, dist_axes)
          axes["line_axes"].append(line_axes)
  
      return fig, axes
  
imports: from .utils import _get_string, _to_rgba
  from .styles import _prepare_plot_style, _axes_modify, _display_percentile, _modify_legend_axes, _get_axes_label
  import pandas
  import numpy
  import matplotlib
  import matplotlib.pyplot
  from matplotlib.gridspec import GridSpecFromSubplotSpec
  import copy
  from mpl_toolkits.axes_grid1.inset_locator import inset_axes
  import plotly.graph_objects
  from sklearn.cluster import MiniBatchKMeans, KMeans
  from itertools import cycle
label_desc: Use image node_id 24 for calling the PDPIsolatePlotEngine obj's underlying member method code with example usage: obj.plot_matplotlib() and returns: fig,  axes