distribution.py 文件源码

def smooth_log(self):

        """
        This function ...
        :return:
        """

        centers = np.array(self.centers)
        counts = np.array(self.counts)

        not_zero = counts != 0

        centers = centers[not_zero]
        counts = counts[not_zero]

        order = 2
        s = InterpolatedUnivariateSpline(centers, np.log10(counts), k=order)

        # Return the spline curve
        return s

    # -----------------------------------------------------------------