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 _get_pdp_xticks(self, is_line=False):
      ticklabels = self.display_columns[:]
      per_ticklabels = self.percentile_columns
      set_ticks = True
      ticks = np.arange(len(ticklabels))
      v_range = [ticks[0] - 0.5, ticks[-1] + 0.5]
  
      if self.is_numeric and is_line and self.plot_style.to_bins:
          ticklabels = self.grids[:]
          per_ticklabels = self.percentiles
          ticks = np.arange(len(ticklabels))
          v_range = [ticks[0], ticks[-1]]
  
      if self.is_numeric and not self.plot_style.to_bins:
          set_ticks = False
  
      if (
          set_ticks
          and 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>"
  
      if is_line and self.plot_style.plot_pts_dist:
          ticklabels = [""] * len(ticklabels)
  
      return ticks, v_range, 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 10 for calling the PDPIsolatePlotEngine obj's underlying member method code with example usage: obj._get_pdp_xticks(is_line) and returns: ticks,  v_range,  ticklabels,  per_ticklabels,  set_ticks