code: def plot_rug(self, height, expand_margins, legend, **kws):
      for (
          sub_vars,
          sub_data,
      ) in self.iter_data(from_comp_data=True):
          ax = self._get_axes(sub_vars)
  
          kws.setdefault("linewidth", 1)
  
          if expand_margins:
              xmarg, ymarg = ax.margins()
              if "x" in self.variables:
                  ymarg += height * 2
              if "y" in self.variables:
                  xmarg += height * 2
              ax.margins(x=xmarg, y=ymarg)
  
          if "hue" in self.variables:
              kws.pop("c", None)
              kws.pop("color", None)
  
          if "x" in self.variables:
              self._plot_single_rug(sub_data, "x", height, ax, kws)
          if "y" in self.variables:
              self._plot_single_rug(sub_data, "y", height, ax, kws)
  
          # --- Finalize the plot
          self._add_axis_labels(ax)
          if "hue" in self.variables and legend:
              # TODO ideally i'd like the legend artist to look like a rug
              legend_artist = partial(mpl.lines.Line2D, [], [])
              self._add_legend(
                  ax,
                  legend_artist,
                  False,
                  False,
                  None,
                  1,
                  {},
                  {},
              )
  
imports: from numbers import Number
  from functools import partial
  import math
  import textwrap
  import warnings
  import numpy
  import pandas
  import matplotlib
  import matplotlib.pyplot
  import matplotlib.transforms
  from matplotlib.cbook import normalize_kwargs
  from matplotlib.colors import to_rgba
  from matplotlib.collections import LineCollection
  from ._base import VectorPlotter
  from ._statistics import ECDF, Histogram, KDE
  from ._stats.counting import Hist
  from .axisgrid import FacetGrid, _facet_docs
  from .utils import remove_na, _get_transform_functions, _kde_support, _check_argument, _assign_default_kwargs, _default_color
  from .palettes import color_palette
  from .external import husl
  from .external.kde import gaussian_kde
  from ._docstrings import DocstringComponents, _core_docs
label_desc: Use image node_id 17 for calling the _DistributionPlotter obj's underlying member method code with example usage: obj.plot_rug(height, expand_margins, legend) without return types