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 _get_pdp_xticks(self, is_xy=False, is_y=False):
      i = int(is_y)
      label = ""
      ticklabels = self.display_columns[i][:]
      per_ticklabels = self.percentile_columns[i]
      if self.feat_types[i] == "numeric":
          ticklabels = self.grids[i][:]
          per_ticklabels = self.percentiles[i]
          if (
              self.plot_style.show_percentile
              and self.plot_style.engine == "plotly"
          ):
              for j, p in enumerate(per_ticklabels):
                  ticklabels[j] += f"<br><sup><b>{p}</b></sup>"
      label, _ = self.get_axes_label(i)
      set_ticks = (
          False if is_xy and not self.plot_style.to_bins else True
      )
  
      return label, ticklabels, per_ticklabels, set_ticks
  
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 12 for calling the PDPInteractPlotEngine obj's underlying member method code with example usage: obj._get_pdp_xticks(is_xy, is_y) and returns: label,  ticklabels,  per_ticklabels,  set_ticks