code: def get_data(self, element, ranges, style):
      cdim = element.get_dimension(self.color_index)
  
      with abbreviated_exception():
          style = self._apply_transforms(element, ranges, style)
  
      scalar = (
          element.interface.isunique(element, cdim, per_geom=True)
          if cdim
          else False
      )
      style_mapping = any(
          isinstance(v, util.arraylike_types)
          and not (k == "c" and scalar)
          for k, v in style.items()
      )
      dims = element.kdims
      xdim, ydim = dims
      generic_dt_format = Dimension.type_formatters[np.datetime64]
      paths, cvals, dims = [], [], {}
      for path in element.split(datatype="columns"):
          xarr, yarr = path[xdim.name], path[ydim.name]
          if util.isdatetime(xarr):
              dt_format = Dimension.type_formatters.get(
                  type(xarr[0]), generic_dt_format
              )
              xarr = date2num(xarr)
              dims[0] = xdim(value_format=DateFormatter(dt_format))
          if util.isdatetime(yarr):
              dt_format = Dimension.type_formatters.get(
                  type(yarr[0]), generic_dt_format
              )
              yarr = date2num(yarr)
              dims[1] = ydim(value_format=DateFormatter(dt_format))
          arr = np.column_stack([xarr, yarr])
          if not (self.color_index is not None or style_mapping):
              paths.append(arr)
              continue
          length = len(xarr)
          for s1, s2 in zip(range(length - 1), range(1, length + 1)):
              if cdim:
                  cvals.append(path[cdim.name])
              paths.append(arr[s1 : s2 + 1])
      if self.invert_axes:
          paths = [p[::-1] for p in paths]
      if not (self.color_index or style_mapping):
          if cdim:
              style["array"] = style.pop("c")
              style["clim"] = style.pop("vmin", None), style.pop(
                  "vmax", None
              )
          return (paths,), style, {"dimensions": dims}
      if cdim:
          self._norm_kwargs(element, ranges, style, cdim)
          style["array"] = np.array(cvals)
      return (paths,), style, {"dimensions": dims}
  
file_path: holoviews/holoviews/plotting/mpl/path.py
imports: import numpy
  import param
  from matplotlib.collections import LineCollection, PatchCollection
  from matplotlib.dates import DateFormatter, date2num
  from ...core import util
  from ...core.dimension import Dimension
  from ...core.options import abbreviated_exception
  from ...element import Polygons
  from .element import ColorbarPlot
  from .util import polygons_to_path_patches
label_desc: Use image node_id 2 for calling the PathPlot obj's underlying member method code with example usage: obj.get_data(element, ranges, style) and returns: paths,  style,  dict, paths,  style,  dict