code: def plot_hyperplane(c, color):
      def line(x0):
          return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1]
  
      plt.plot(
          [xmin, xmax], [line(xmin), line(xmax)], ls="--", color=color
      )
  
imports: import matplotlib.pyplot
  import numpy
  from sklearn import datasets
  from sklearn.inspection import DecisionBoundaryDisplay
  from sklearn.linear_model import SGDClassifier
label_desc: Use image node_id 1 for calling a global function with example usage: plot_hyperplane(c, color) and returns: unknown