code: def get_data(self, element, ranges, style, **kwargs):
      # Get x, y, group, stack and color dimensions
      xdim = element.kdims[0]
      vdim = element.vdims[0]
      group_dim, stack_dim = None, None
      if element.ndims == 1:
          pass
      elif self.stacked:
          stack_dim = element.get_dimension(1)
          if stack_dim.values:
              svals = stack_dim.values
          elif stack_dim in ranges and ranges[stack_dim.name].get(
              "factors"
          ):
              svals = ranges[stack_dim]["factors"]
          else:
              svals = element.dimension_values(1, False)
      else:
          group_dim = element.get_dimension(1)
  
      if self.invert_axes:
          x, y = ("y", "x")
          orientation = "h"
      else:
          x, y = ("x", "y")
          orientation = "v"
  
      xvals, gvals = self._get_coords(element, ranges, as_string=False)
  
      bars = []
      if element.ndims == 1:
          values = []
          for v in xvals:
              sel = element[[v]]
              values.append(sel.iloc[0, 1] if len(sel) else 0)
          bars.append(
              {
                  "orientation": orientation,
                  "showlegend": False,
                  x: [xdim.pprint_value(v) for v in xvals],
                  y: np.nan_to_num(values),
              }
          )
      elif stack_dim or not self.multi_level:
          group_dim = stack_dim or group_dim
          order = list(svals if stack_dim else gvals)
          els = element.groupby(group_dim)
          sorted_groups = sorted(
              els.items(),
              key=lambda x: order.index(x[0]) if x[0] in order else -1,
          )
          for k, el in sorted_groups[::-1]:
              values = []
              for v in xvals:
                  sel = el[[v]]
                  values.append(sel.iloc[0, 1] if len(sel) else 0)
              bars.append(
                  {
                      "orientation": orientation,
                      "name": group_dim.pprint_value(k),
                      x: [xdim.pprint_value(v) for v in xvals],
                      y: np.nan_to_num(values),
                  }
              )
      else:
          values = element.dimension_values(vdim)
          bars.append(
              {
                  "orientation": orientation,
                  x: [
                      [
                          d.pprint_value(v)
                          for v in element.dimension_values(d)
                      ]
                      for d in (xdim, group_dim)
                  ],
                  y: np.nan_to_num(values),
              }
          )
      return bars
  
imports: import numpy
  import param
  from ...element import Tiles
  from ...operation import interpolate_curve
  from ..mixins import AreaMixin, BarsMixin
  from .element import ColorbarPlot, ElementPlot
  from .selection import PlotlyOverlaySelectionDisplay
label_desc: Use image node_id 4 for calling the BarPlot obj's underlying member method code with example usage: obj.get_data(element, ranges, style) and returns: bars