การจัดการกับค่าผิดปกติ

def replace_outliers(series):
    # Calculate the absolute difference of each timepoint from the series mean
    absolute_differences_from_mean = np.abs(series - np.mean(series))
    
    # Calculate a mask for the differences that are > 3 standard deviations from zero
    this_mask = absolute_differences_from_mean > (np.____(series) * ____)
    
    # Replace these values with the median accross the data
    series[this_mask] = np.____(series)
    return series

# Apply your preprocessing function to the timeseries and plot the results
prices_perc = prices_perc.____
prices_perc.loc["2014":"2015"].plot()
plt.show()