code: def init_artists(self, ax, plot_args, plot_kwargs):
      if plot_args[-1] is not None:
          cmap = plot_kwargs.pop("cmap", None)
          colors = list(np.unique(plot_args[-1]))
          vmin, vmax = plot_kwargs.pop("vmin"), plot_kwargs.pop("vmax")
      else:
          cmap = None
          plot_args = plot_args[:-1]
  
      vectorized = {
          k: v
          for k, v in plot_kwargs.items()
          if isinstance(v, np.ndarray)
      }
  
      texts = []
      for i, item in enumerate(zip(*plot_args)):
          x, y, text = item[:3]
          if len(item) == 4 and cmap is not None:
              color = item[3]
              if plot_args[-1].dtype.kind in "if":
                  color = (color - vmin) / (vmax - vmin)
                  plot_kwargs["color"] = cmap(color)
              else:
                  color = (
                      colors.index(color) if color in colors else np.nan
                  )
                  plot_kwargs["color"] = cmap(color)
          kwargs = dict(
              plot_kwargs, **{k: v[i] for k, v in vectorized.items()}
          )
          texts.append(ax.text(x, y, text, **kwargs))
      return {"artist": texts}
  
imports: import matplotlib
  import numpy
  import pandas
  import param
  from matplotlib import patches
  from matplotlib.lines import Line2D
  from ...core.options import abbreviated_exception
  from ...core.util import match_spec
  from ...element import HLines, HSpans, VLines, VSpans
  from .element import ColorbarPlot, ElementPlot
  from .plot import mpl_rc_context
label_desc: Use image node_id 2 for calling the LabelsPlot obj's underlying member method code with example usage: obj.init_artists(ax, plot_args, plot_kwargs) and returns: dict