shovene

import math

def shovene(self, column, max_iter=5):
    iter_count = 0
    while iter_count < max_iter:
        n = self.df[column].count()
        mean = self.df[column].mean()
        std = self.df[column].std()
        
        outliers_indices = []
        for idx, elem in enumerate(self.df[column]):
            if std == 0:  # чтобы предотвратить деление на 0
                break
            if math.erfc((abs(elem - mean)) / std) < 1 / (2 * n):
                outliers_indices.append(idx)

        if not outliers_indices:
            break
        
        self.df = self.df.drop(index=outliers_indices)
        iter_count += 1

    return self.df