docstr: Return True if only x or y are used.
docstr_tok: ["Return","True","if","only","x","or","y","are","used","."]
code: def univariate(self):
      """Return True if only x or y are used."""
      # TODO this could go down to core, but putting it here now.
      # We'd want to be conceptually clear that univariate only applies
      # to x/y and not to other semantics, which can exist.
      # We haven't settled on a good conceptual name for x/y.
      return bool({"x", "y"} - set(self.variables))
  
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 2 for calling the _DistributionPlotter obj's underlying member method code with example usage: obj.univariate() and returns: bool