original_docstring: Plot 1-Specificity by Sensitivity
  
      Args:
          fpr: false positive rate from Roc.calculate
          tpr: true positive rate from Roc.calculate
  
      Returns:
          fig: Will return a matplotlib ROC plot
  
      
docstring: Plot 1-Specificity by Sensitivity
docstring_tokens: Plot 1 - Specificity by Sensitivity
code: def roc_plot(fpr, tpr):
      """Plot 1-Specificity by Sensitivity
  
      Args:
          fpr: false positive rate from Roc.calculate
          tpr: true positive rate from Roc.calculate
  
      Returns:
          fig: Will return a matplotlib ROC plot
  
      """
  
      plt.figure()
      plt.plot(fpr, tpr, color="red", linewidth=3)
      # fig = sns.tsplot(tpr,fpr,color='red',linewidth=3)
      plt.xlabel("(1 - Specificity)", fontsize=16)
      plt.ylabel("Sensitivity", fontsize=16)
      plt.title("ROC Plot", fontsize=18)
      return
code_tokens: def roc_plot ( fpr , tpr ) : plt . figure ( ) plt . plot ( fpr , tpr , color = "red" , linewidth = 3 ) plt . xlabel ( "(1 - Specificity)" , fontsize = 16 ) plt . ylabel ( "Sensitivity" , fontsize = 16 ) plt . title ( "ROC Plot" , fontsize = 18 ) return
short_docstring: Plot 1-Specificity by Sensitivity
short_docstring_tokens: Plot 1 - Specificity by Sensitivity
comment: """Plot 1-Specificity by Sensitivity
  
      Args:
          fpr: false positive rate from Roc.calculate
          tpr: true positive rate from Roc.calculate
  
      Returns:
          fig: Will return a matplotlib ROC plot
  
      """$SEP$# fig = sns.tsplot(tpr,fpr,color='red',linewidth=3)