code: def patch(name="hvplot", extension="bokeh", logo=False):
      try:
          from fugue import DataFrames, Outputter
          from fugue.extensions import (
              namespace_candidate,
              parse_outputter,
          )
      except:
          raise ImportError(
              "Could not add fugue support as it could not be imported. "
              "Please make sure you have installed fugue in your environment."
          )
  
      import hvplot.pandas  # noqa: F401
  
      class _Visualize(Outputter):
          def __init__(self, func: str) -> None:
              super().__init__()
              self._func = func
              getattr(hvPlotTabular, func)  # ensure the func exists
  
          def process(self, dfs: DataFrames) -> None:
              """
              Process the dataframes and output the result as
              a pn.Column.
  
              Parameters:
              -----------
              dfs: fugue.DataFrames
              """
              charts = []
              for df in dfs.values():
                  params = dict(self.params)
                  opts: Dict[str, Any] = params.pop("opts", {})
                  chart = getattr(df.as_pandas().hvplot, self._func)(
                      **params
                  ).opts(**opts)
                  charts.append(chart)
              col = _pn.Column(*charts)
              try:
                  if not _fugue_ipython:
                      get_ipython()
              except NameError:
                  col.show()  # in script
              else:
                  from IPython.display import display
  
                  display(col)  # in notebook
  
      @parse_outputter.candidate(
          namespace_candidate(name, lambda x: isinstance(x, str))
      )
      def _parse_hvplot(obj: Tuple[str, str]) -> Outputter:
          return _Visualize(obj[1])
  
      post_patch(extension, logo)
  
imports: from typing import Any, Dict, Tuple
  import panel
  from .None import hvPlotTabular, post_patch
  from .util import _fugue_ipython
label_desc: Use image node_id 1 for calling a global function with example usage: patch(name, extension, logo) and returns: _Visualize