def performance_curve(self):
        """
        Calculate the Probability of Detection and False Alarm Ratio in order to output a performance diagram.

        Returns:
            pandas.DataFrame containing POD, FAR, and probability thresholds.
        """
        pod = self.contingency_tables["TP"] / (self.contingency_tables["TP"] + self.contingency_tables["FN"])
        far = self.contingency_tables["FP"] / (self.contingency_tables["FP"] + self.contingency_tables["TP"])
        far[(self.contingency_tables["FP"] + self.contingency_tables["TP"]) == 0] = np.nan
        return pd.DataFrame({"POD": pod, "FAR": far, "Thresholds": self.thresholds},
                            columns=["POD", "FAR", "Thresholds"])
Calculate the Probability of Detection and False Alarm Ratio in order to output a performance diagram.

        Returns:
            pandas.DataFrame containing POD, FAR, and probability thresholds.