class_docstr: Flipped cartesian coordinates
  
  The horizontal becomes vertical, and vertical becomes horizontal.
  This is primarily useful for converting geoms and statistics which
  display y conditional on x, to x conditional on y.
  
  Parameters
  ----------
  xlim : tuple[float, float], default=None
      Limits for x axis. If None, then they are automatically computed.
  ylim : tuple[float, float], default=None
      Limits for y axis. If None, then they are automatically computed.
  expand : bool, default=True
      If `True`, expand the coordinate axes by some factor. If `False`,
      use the limits from the data.
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code: def transform(
      self,
      data: pd.DataFrame,
      panel_params: panel_view,
      munch: bool = False,
  ) -> pd.DataFrame:
      data = flip_labels(data)
      return super().transform(data, panel_params, munch=munch)
  
file_path: plotnine/plotnine/coords/coord_flip.py
imports: from __future__ import annotations
  import typing
  import pandas
  from ..iapi import labels_view, panel_ranges, panel_view
  from .coord_cartesian import coord_cartesian
label_desc: Use image node_id 2 for calling the coord_flip obj's underlying member method code with example usage: obj.transform(data, panel_params, munch) and returns: super