q1 = np.percentile(y_rolling_array, 25)
q3 = np.percentile(y_rolling_array, 75)
iqr = (q3 - q1) * outlier_const
- low, high = q1 - iqr, q3 + iqr
+ low = q1 - iqr
item_pd = pd.Series([item_y, ], index=[item_x, ])
- if low <= item_y <= high:
+ if low <= item_y:
trimmed_data = trimmed_data.append(item_pd)
else:
outliers = outliers.append(item_pd)