class_docstr: Create plots for `PDPInteract`
  
  Methods
  -------
  plot : generate the plot
  plot_matplotlib : plot using matplotlib
  plot_plotly : plot using plotly
class_docstr_tok: ["Create","plots","for","`","PDPInteract","`","Methods","--","--","--","-","plot",":","generate","the","plot","plot_matplotlib",":","plot","using","matplotlib","plot_plotly",":","plot","using","plotly"]
code: def wrapup(self, title, xy_axes, x_axes=None, y_axes=None):
      if self.plot_style.plot_pdp:
          self._set_pdp_ticks(x_axes, is_xy=False, is_y=False)
          x_axes.get_yaxis().set_visible(False)
          _axes_modify(x_axes, self.plot_style, grid=False, top=True)
  
          self._set_pdp_ticks(y_axes, is_xy=False, is_y=True)
          y_axes.get_xaxis().set_visible(False)
          _axes_modify(y_axes, self.plot_style, grid=False)
  
          xy_axes.get_xaxis().set_visible(False)
          xy_axes.get_yaxis().set_visible(False)
      else:
          self._set_pdp_ticks(xy_axes, is_xy=True, is_y=False)
          self._set_pdp_ticks(xy_axes, is_xy=True, is_y=True)
  
      _axes_modify(xy_axes, self.plot_style, grid=False)
      if len(self.plot_obj.target) > 1:
          xy_axes.set_xlabel(
              title, **self.plot_style.title["subplot_title"]
          )
  
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 19 for calling the PDPInteractPlotEngine obj's underlying member method code with example usage: obj.wrapup(title, xy_axes, x_axes, y_axes) without return types