iqr = (upper_quartile - lower_quartile) * outlier_const
quartile_set = (lower_quartile - iqr, upper_quartile + iqr)
result_lst = list()
- for y in data.tolist():
+ for y in input_list:
if quartile_set[0] <= y <= quartile_set[1]:
result_lst.append(y)
return result_lst
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)
:param path: Path to files.
:param extension: Extension of files to process. If it is the empty string,
- all files will be processed.
+ all files will be processed.
:param full_path: If True, the files with full path are generated.
:type path: str
:type extension: str