code: def quickvolshow(
      data,
      lighting=False,
      data_min=None,
      data_max=None,
      max_shape=256,
      level=[0.1, 0.5, 0.9],
      opacity=[0.01, 0.05, 0.1],
      level_width=0.1,
      extent=None,
      memorder='C',
      **kwargs
  ):
      
      ipv.figure()
      ipv.volshow(
          data,
          lighting=lighting,
          data_min=data_min,
          data_max=data_max,
          max_shape=max_shape,
          level=level,
          opacity=opacity,
          level_width=level_width,
          extent=extent,
          memorder=memorder,
          **kwargs
      )
      return ipv.gcc()
docs: Visualize a 3d array using volume rendering.
  
      :param data: 3d numpy array
      :param lighting: boolean, to use lighting or not, if set to false, lighting parameters will be overriden
      :param data_min: minimum value to consider for data, if None, computed using np.nanmin
      :param data_max: maximum value to consider for data, if None, computed using np.nanmax
      :param int max_shape: maximum shape for the 3d cube, if larger, the data is reduced by skipping/slicing (data[::N]),
                            set to None to disable.
      :param extent: list of [[xmin, xmax], [ymin, ymax], [zmin, zmax]] values that define the bounds of the volume,
                     otherwise the viewport is used
      :param level: level(s) for the where the opacity in the volume peaks, maximum sequence of length 3
      :param opacity: opacity(ies) for each level, scalar or sequence of max length 3
      :param level_width: width of the (gaussian) bumps where the opacity peaks, scalar or sequence of max length 3
      :param kwargs: extra argument passed to Volume and default transfer function
      :return: