code: def get_data(self, element, ranges, style):
      split_dim = (
          dim(self.split) if isinstance(self.split, str) else self.split
      )
      kdims = [
          kd
          for kd in element.kdims
          if not split_dim or split_dim.dimension != kd
      ]
  
      if kdims:
          with sorted_context(False):
              groups = element.groupby(kdims).data
      else:
          groups = dict([((element.label,), element)])
  
      if split_dim:
          split_name = split_dim.dimension.name
          if (
              split_name in ranges
              and not split_dim.ops
              and "factors" in ranges[split_name]
          ):
              split_cats = ranges[split_name].get("factors")
          elif split_dim:
              split_cats = list(
                  unique_iterator(split_dim.apply(element))
              )
      else:
          split_cats = None
  
      # Define glyph-data mapping
      if self.invert_axes:
          bar_map = {
              "y": "x",
              "left": "bottom",
              "right": "top",
              "height": 0.1,
          }
          kde_map = {"xs": "ys", "ys": "xs"}
          if self.inner == "box":
              seg_map = {"x0": "y0", "x1": "y1", "y0": "x", "y1": "x"}
          else:
              seg_map = {"x0": "x", "x1": "x", "y0": "y0", "y1": "y1"}
          scatter_map = {"x": "y", "y": "x"}
          bar_glyph = "hbar"
      else:
          bar_map = {
              "x": "x",
              "bottom": "bottom",
              "top": "top",
              "width": 0.1,
          }
          kde_map = {"xs": "xs", "ys": "ys"}
          if self.inner == "box":
              seg_map = {"x0": "x", "x1": "x", "y0": "y0", "y1": "y1"}
          else:
              seg_map = {"y0": "x", "y1": "x", "x0": "y0", "x1": "y1"}
          scatter_map = {"x": "x", "y": "y"}
          bar_glyph = "vbar"
  
      kwargs = {"bandwidth": self.bandwidth, "cut": self.cut}
      mapping, data = {}, {}
      kde_data, line_data, seg_data, bar_data, scatter_data = (
          defaultdict(list) for i in range(5)
      )
      for key, g in groups.items():
          key = decode_bytes(key)
          if element.kdims:
              key = tuple(
                  d.pprint_value(k) for d, k in zip(element.kdims, key)
              )
          kde, line, segs, bars, scatter = self._kde_data(
              element, g, key, split_dim, split_cats, **kwargs
          )
          for k, v in segs.items():
              seg_data[k] += v
          for k, v in bars.items():
              bar_data[k] += v
          for k, v in scatter.items():
              scatter_data[k].append(v)
          for k, v in line.items():
              line_data[k].append(v)
          for k, vals in kde.items():
              if split_dim:
                  for v in vals:
                      kde_data[k].append(v)
              else:
                  kde_data[k].append(vals)
  
      data["multi_line_1"] = line_data
      mapping["multi_line_1"] = kde_map
      data["patches_1"] = kde_data
      mapping["patches_1"] = kde_map
      if seg_data:
          data["segment_1"] = {
              k: v if isinstance(v[0], tuple) else np.array(v)
              for k, v in seg_data.items()
          }
          mapping["segment_1"] = seg_map
      if bar_data:
          data[bar_glyph + "_1"] = {
              k: v if isinstance(v[0], tuple) else np.array(v)
              for k, v in bar_data.items()
          }
          mapping[bar_glyph + "_1"] = bar_map
      if scatter_data:
          data["scatter_1"] = {
              k: v if isinstance(v[0], tuple) else np.array(v)
              for k, v in scatter_data.items()
          }
          mapping["scatter_1"] = scatter_map
  
      if split_dim:
          factors = [str(v) for v in split_cats]
          cmapper = self._get_colormapper(
              split_dim,
              element,
              ranges,
              dict(style),
              name="violin_color_mapper",
              group="violin",
              factors=factors,
          )
          style["violin_fill_color"] = {
              "field": repr(split_dim),
              "transform": cmapper,
          }
          if self.show_legend:
              kde_map["legend_field"] = repr(split_dim)
  
      for k in style.copy():
          if k.startswith("violin_line"):
              style[k.replace("violin", "outline")] = style.pop(k)
      style["violin_line_width"] = 0
  
      return data, mapping, style
  
imports: from collections import defaultdict
  from functools import partial
  import numpy
  import param
  from bokeh.models import Circle, FactorRange, HBar, VBar
  from ...core import NdOverlay
  from ...core.dimension import Dimension, Dimensioned
  from ...core.ndmapping import sorted_context
  from ...core.util import dimension_sanitizer, is_cupy_array, is_dask_array, isfinite, unique_iterator, wrap_tuple
  from ...operation.stats import univariate_kde
  from ...util.transform import dim
  from ..mixins import MultiDistributionMixin
  from .chart import AreaPlot
  from .element import ColorbarPlot, CompositeElementPlot, LegendPlot
  from .path import PolygonPlot
  from .selection import BokehOverlaySelectionDisplay
  from .styles import base_properties, fill_properties, line_properties
  from .util import decode_bytes
label_desc: Use image node_id 4 for calling the ViolinPlot obj's underlying member method code with example usage: obj.get_data(element, ranges, style) and returns: data,  mapping,  style