stats.py 文件源码

def whiskers(self, whis: float = 1.5) -> t.Tuple[float, float]:
        """
        Calculates the upper and the lower whisker for a boxplot.
        I.e. the minimum and the maximum value of the data set
        the lie in the range (Q1 - whis * IQR, Q3 + whis * IQR).
        IQR being the interquartil distance, Q1 the lower and Q2 the upper quartile.

        Adapted from http://stackoverflow.com/a/20096945
        """
        q1, q2, q3 = self.quartiles()
        iqr = self.iqr()
        hi_val = q1 + whis * self.iqr()
        whisk_hi = np.compress(self.array <= hi_val, self.array)
        if len(whisk_hi) == 0 or np.max(whisk_hi) < q3:
            whisk_hi = q3
        else:
            whisk_hi = max(whisk_hi)

        # get low extreme
        lo_val = q1 - whis * iqr
        whisk_lo = np.compress(self.array >= lo_val, self.array)
        if len(whisk_lo) == 0 or np.min(whisk_lo) > q1:
            whisk_lo = q1
        else:
            whisk_lo = min(whisk_lo)
        return whisk_lo, whisk_hi