class_docstr: Test docstring.
class_docstr_tok: ["Test","docstring","."]
docstr: Plot the support vectors by placing circles over the
  corresponding data points and adds the circle collection
  to the contours list.
docstr_tok: ["Plot","the","support","vectors","by","placing","circles","over","the","corresponding","data","points","and","adds","the","circle","collection","to","the","contours","list","."]
code: def plot_support_vectors(self, support_vectors):
      """Plot the support vectors by placing circles over the
      corresponding data points and adds the circle collection
      to the contours list."""
      cs = self.ax.scatter(
          support_vectors[:, 0],
          support_vectors[:, 1],
          s=80,
          edgecolors="k",
          facecolors="none",
      )
      self.contours.append(cs)
  
imports: import matplotlib
  from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
  import sys
  import tkinter
  import numpy
  from matplotlib.contour import ContourSet
  from matplotlib.figure import Figure
  from sklearn import svm
  from sklearn.datasets import dump_svmlight_file
label_desc: Use image node_id 7 for calling the View obj's underlying member method code with example usage: obj.plot_support_vectors(support_vectors) without return types