item = [tbl_dict[tst_name]["name"], ]
if tbl_dict[tst_name]["ref-data"]:
data_t = remove_outliers(tbl_dict[tst_name]["ref-data"],
- outlier_constant=table["outlier-const"])
+ outlier_const=table["outlier-const"])
# TODO: Specify window size.
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
item.extend([None, None])
if tbl_dict[tst_name]["cmp-data"]:
data_t = remove_outliers(tbl_dict[tst_name]["cmp-data"],
- outlier_constant=table["outlier-const"])
+ outlier_const=table["outlier-const"])
# TODO: Specify window size.
item.append(round(mean(data_t) / 1000000, 2))
item.append(round(stdev(data_t) / 1000000, 2))
return float(((nr2 - nr1) / nr1) * 100)
+
def remove_outliers(input_list, outlier_const=1.5, window=14):
"""Return list with outliers removed, using split_outliers.