class_docstr: Create plots for `InteractTargetPlot` or `InteractPredictPlot`
  
  Methods
  -------
  plot_matplotlib : plot using matplotlib
  plot_plotly : plot using plotly
class_docstr_tok: ["Create","plots","for","`","InteractTargetPlot","`","or","`","InteractPredictPlot","`","Methods","--","--","--","-","plot_matplotlib",":","plot","using","matplotlib","plot_plotly",":","plot","using","plotly"]
code: def _set_ticks(self, axes, is_y=False):
      i = int(is_y)
      label, show_percentile = self.get_axes_label(i)
      if show_percentile:
          _display_percentile(
              axes,
              self.feat_names[i],
              self.percentile_columns[i],
              self.plot_style,
              is_y=is_y,
          )
      if is_y:
          axes.set_ylabel(
              label,
              fontdict=self.plot_style.label["fontdict"],
          )
      else:
          axes.set_xlabel(
              label,
              fontdict=self.plot_style.label["fontdict"],
          )
  
imports: from .styles import _prepare_plot_style, _axes_modify, _display_percentile, _modify_legend_axes, _get_axes_label
  import numpy
  from itertools import cycle
  import plotly.express
  import matplotlib
  import matplotlib.pyplot
  from matplotlib.gridspec import GridSpecFromSubplotSpec
  from mpl_toolkits.axes_grid1.inset_locator import inset_axes
  import matplotlib.patheffects
  import plotly.graph_objects
label_desc: Use image node_id 4 for calling the InteractInfoPlotEngine obj's underlying member method code with example usage: obj._set_ticks(axes, is_y) without return types