code: def plot(
      self,
      metric,
      method,
      colorbar_kws,
      row_cluster,
      col_cluster,
      row_linkage,
      col_linkage,
      tree_kws,
      **kws,
  ):
      # heatmap square=True sets the aspect ratio on the axes, but that is
      # not compatible with the multi-axes layout of clustergrid
      if kws.get("square", False):
          msg = "``square=True`` ignored in clustermap"
          warnings.warn(msg)
          kws.pop("square")
  
      colorbar_kws = {} if colorbar_kws is None else colorbar_kws
  
      self.plot_dendrograms(
          row_cluster,
          col_cluster,
          metric,
          method,
          row_linkage=row_linkage,
          col_linkage=col_linkage,
          tree_kws=tree_kws,
      )
      try:
          xind = self.dendrogram_col.reordered_ind
      except AttributeError:
          xind = np.arange(self.data2d.shape[1])
      try:
          yind = self.dendrogram_row.reordered_ind
      except AttributeError:
          yind = np.arange(self.data2d.shape[0])
  
      self.plot_colors(xind, yind, **kws)
      self.plot_matrix(colorbar_kws, xind, yind, **kws)
      return self
  
imports: import warnings
  import matplotlib
  from matplotlib.collections import LineCollection
  import matplotlib.pyplot
  from matplotlib import gridspec
  import numpy
  import pandas
  from .None import cm
  from .axisgrid import Grid
  from ._compat import get_colormap
  from .utils import despine, axis_ticklabels_overlap, relative_luminance, to_utf8, _draw_figure
label_desc: Use image node_id 11 for calling the ClusterGrid obj's underlying member method code with example usage: obj.plot(metric, method, colorbar_kws, row_cluster, col_cluster, row_linkage, col_linkage, tree_kws) and returns: self