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 _pdp_inter_plot(self, pdp_xy, norm, cmap, axes):
      grids_x, grids_y = self.feat_grids
      pdp_xy = pdp_xy.reshape((len(grids_x), len(grids_y))).T
  
      if self.plot_style.interact["type"] == "grid":
          im = self._pdp_xy_grid(pdp_xy, norm, cmap, axes)
      else:
          if self.plot_style.to_bins:
              X, Y = np.meshgrid(
                  range(pdp_xy.shape[1]), range(pdp_xy.shape[0])
              )
          else:
              X, Y = np.meshgrid(grids_x, grids_y)
          im = self._pdp_contour_plot(X, Y, pdp_xy, norm, cmap, axes)
  
      axes.grid(False)
      axes.tick_params(which="both", bottom=False, left=False)
      axes.set_frame_on(False)
  
      return im
  
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 7 for calling the PDPInteractPlotEngine obj's underlying member method code with example usage: obj._pdp_inter_plot(pdp_xy, norm, cmap, axes) and returns: im