text: import pandas as pd
  import matplotlib.pyplot as plt
  
  def metric_pair_plot(data_set_path, metric1='',metric2=''):
  
      churn_data = pd.read_csv(data_set_path,index_col=[0,1])
  
      met1_series = churn_data[metric1]
      met2_series = churn_data[metric2]
  
      corr = met1_series.corr(met2_series)
  
      plt.scatter(met1_series, met2_series, marker='.')
  
      plt.xlabel(metric1)
      plt.ylabel(metric2)
      plt.title('Correlation = %.2f' % corr)
      plt.tight_layout()
      plt.grid()
  
      save_name = data_set_path.replace('.csv', '_' + metric1 + '_vs_' + metric2 + '.png')
      plt.savefig(save_name )
      print('Saving plot to %s' % save_name)
      plt.close()
  