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_plotly(self, fig, xy_grids, x_grids=None, y_grids=None):
      if self.plot_style.plot_pdp:
          self._set_pdp_ticks_plotly(
              fig, x_grids, is_xy=False, is_y=False
          )
          fig.update_yaxes(
              showgrid=False, showticklabels=False, **x_grids
          )
          self._set_pdp_ticks_plotly(
              fig, y_grids, is_xy=False, is_y=True
          )
          fig.update_xaxes(
              showgrid=False, showticklabels=False, **y_grids
          )
          fig.update_xaxes(
              showgrid=False, showticklabels=False, **xy_grids
          )
          fig.update_yaxes(
              showgrid=False, showticklabels=False, **xy_grids
          )
      else:
          self._set_pdp_ticks_plotly(
              fig, xy_grids, is_xy=True, is_y=False
          )
          self._set_pdp_ticks_plotly(
              fig, xy_grids, is_xy=True, is_y=True
          )
  
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 20 for calling the PDPInteractPlotEngine obj's underlying member method code with example usage: obj.wrapup_plotly(fig, xy_grids, x_grids, y_grids) without return types