code: def init_artists(self, ax, plot_args, plot_kwargs):
      artists = {}
      if "arcs" in plot_args:
          color_opts = ["c", "cmap", "vmin", "vmax", "norm"]
          groups = [g for g in self._style_groups if g != "arc"]
          edge_opts = filter_styles(
              plot_kwargs, "arc", groups, color_opts
          )
          paths = plot_args["arcs"]
          edges = LineCollection(paths, **edge_opts)
          ax.add_collection(edges)
          artists["arcs"] = edges
  
      artists.update(super().init_artists(ax, plot_args, plot_kwargs))
      if "text" in plot_args:
          fontsize = plot_kwargs.get("text_font_size", 8)
          labels = []
          for x, y, l, a in zip(*plot_args["text"]):
              label = ax.annotate(
                  l,
                  xy=(x, y),
                  xycoords="data",
                  rotation=a,
                  horizontalalignment="left",
                  fontsize=fontsize,
                  verticalalignment="center",
                  rotation_mode="anchor",
              )
              labels.append(label)
          artists["labels"] = labels
      return artists
  
imports: import warnings
  import numpy
  import param
  from matplotlib.collections import LineCollection, PolyCollection
  from ...core.data import Dataset
  from ...core.options import Cycle, abbreviated_exception
  from ...core.util import is_number, isscalar, search_indices, unique_array
  from ...util.transform import dim
  from ..mixins import ChordMixin, GraphMixin
  from ..util import get_directed_graph_paths, process_cmap
  from .element import ColorbarPlot
  from .util import filter_styles
label_desc: Use image node_id 2 for calling the ChordPlot obj's underlying member method code with example usage: obj.init_artists(ax, plot_args, plot_kwargs) and returns: artists