diff options
| author |   Tibor Frank <tifrank@cisco.com> | 2018-03-26 14:14:43 +0200 |
|---|---|---|
| committer | Tibor Frank <tifrank@cisco.com> | 2018-03-26 14:14:43 +0200 |
| commit | 8e75584f75d0e675f1fb050f25b80ee5caa5935d (patch) | |
| tree | e4997c6a5b907604cb0feda350cb9864ff38d8dc /resources | |
| parent | 6ef96e8c0a95dc9ccfaf51fe51b60b7934ed6e89 (diff) | |
Report: Detect outliers for the comparative tables
Change-Id: I87f7f239560544261e21d36d020c56dda0e601fd
Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources')
| -rw-r--r-- | resources/tools/presentation/generator_tables.py | 22 |
1 files changed, 9 insertions, 13 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index f4fe1be174..a022c65e09 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -22,7 +22,7 @@ import prettytable from string import replace from errors import PresentationError -from utils import mean, stdev, relative_change +from utils import mean, stdev, relative_change, find_outliers def generate_tables(spec, data): @@ -401,21 +401,17 @@ def table_performance_comparison(table, input_data): for tst_name in tbl_dict.keys(): item = [tbl_dict[tst_name]["name"], ] if tbl_dict[tst_name]["ref-data"]: - item.append(round(mean(remove_outliers( - tbl_dict[tst_name]["ref-data"], - table["outlier-const"])) / 1000000, 2)) - item.append(round(stdev(remove_outliers( - tbl_dict[tst_name]["ref-data"], - table["outlier-const"])) / 1000000, 2)) + data_t, _ = find_outliers(tbl_dict[tst_name]["ref-data"], + table["outlier-const"]) + item.append(round(mean(data_t) / 1000000, 2)) + item.append(round(stdev(data_t) / 1000000, 2)) else: item.extend([None, None]) if tbl_dict[tst_name]["cmp-data"]: - item.append(round(mean(remove_outliers( - tbl_dict[tst_name]["cmp-data"], - table["outlier-const"])) / 1000000, 2)) - item.append(round(stdev(remove_outliers( - tbl_dict[tst_name]["cmp-data"], - table["outlier-const"])) / 1000000, 2)) + data_t, _ = find_outliers(tbl_dict[tst_name]["cmp-data"], + table["outlier-const"]) + item.append(round(mean(data_t) / 1000000, 2)) + item.append(round(stdev(data_t) / 1000000, 2)) else: item.extend([None, None]) if item[1] is not None and item[3] is not None: |