code: def as_pyplot_figure(self, label=1, **kwargs):
          
          import matplotlib.pyplot as plt
          exp = self.as_list(label=label, **kwargs)
          fig = plt.figure()
          vals = [x[1] for x in exp]
          names = [x[0] for x in exp]
          vals.reverse()
          names.reverse()
          colors = ['green' if x > 0 else 'red' for x in vals]
          pos = np.arange(len(exp)) + .5
          plt.barh(pos, vals, align='center', color=colors)
          plt.yticks(pos, names)
          if self.mode == "classification":
              title = 'Local explanation for class %s' % self.class_names[label]
          else:
              title = 'Local explanation'
          plt.title(title)
          return fig
docs: Returns the explanation as a pyplot figure.
  
          Will throw an error if you don't have matplotlib installed
          Args:
              label: desired label. If you ask for a label for which an
                     explanation wasn't computed, will throw an exception.
                     Will be ignored for regression explanations.
              kwargs: keyword arguments, passed to domain_mapper
  
          Returns:
              pyplot figure (barchart).