Report: Detect outliers for the comparative tables 72/11372/1
authorTibor Frank <tifrank@cisco.com>
Mon, 26 Mar 2018 12:14:43 +0000 (14:14 +0200)
committerTibor Frank <tifrank@cisco.com>
Mon, 26 Mar 2018 12:14:43 +0000 (14:14 +0200)
Change-Id: I87f7f239560544261e21d36d020c56dda0e601fd
Signed-off-by: Tibor Frank <tifrank@cisco.com>
resources/tools/presentation/generator_tables.py

index f4fe1be..a022c65 100644 (file)
@@ -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:

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