code: def parallel_categories(
      data_frame=None,
      dimensions=None,
      color=None,
      labels=None,
      color_continuous_scale=None,
      range_color=None,
      color_continuous_midpoint=None,
      title=None,
      template=None,
      width=None,
      height=None,
      dimensions_max_cardinality=50,
  ):
      """
      In a parallel categories (or parallel sets) plot, each row of
      `data_frame` is grouped with other rows that share the same values of
      `dimensions` and then plotted as a polyline mark through a set of
      parallel axes, one for each of the `dimensions`.
      """
      return make_figure(args=locals(), constructor=go.Parcats)
  
imports: from ._core import make_figure
  from ._doc import make_docstring
  import plotly.graph_objs
label_desc: Use image node_id 28 for calling a global function with example usage: parallel_categories(data_frame, dimensions, color, labels, color_continuous_scale, range_color, color_continuous_midpoint, title, template, width, height, dimensions_max_cardinality) and returns: make_figure