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 _set_pdp_ticks_plotly(self, fig, grids, is_xy=False, is_y=False):
      label, ticklabels, _, set_ticks = self._get_pdp_xticks(
          is_xy, is_y
      )
  
      tick_params = {
          "title_text": label,
          "title_standoff": 0,
          "ticktext": ticklabels if set_ticks else None,
          "tickvals": np.arange(len(ticklabels)) if set_ticks else None,
          "side": "top" if not is_y else None,
      }
  
      if is_y:
          fig.update_yaxes(**tick_params, **grids)
      else:
          fig.update_xaxes(**tick_params, **grids)
  
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 14 for calling the PDPInteractPlotEngine obj's underlying member method code with example usage: obj._set_pdp_ticks_plotly(fig, grids, is_xy, is_y) without return types