X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=120d39b5974cd16ca6e44e5238968d528cb4d837;hb=c71b538b882cfdf8c5a940b8183a6f75a0915e42;hp=0b92db6991d78bf7f5ed2b09dc0a490065cbed53;hpb=06027cf4a33ff75146cbf5e91b029dc801158797;p=csit.git

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 0b92db6991..120d39b597 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -730,13 +730,13 @@ def table_performance_trending_dashboard(table, input_data):
     data = input_data.filter_data(table, continue_on_error=True)
 
     # Prepare the header of the tables
-    header = ["Test Case",
+    header = ["        Test Case",
               "Trend [Mpps]",
-              "Short-Term Change [%]",
-              "Long-Term Change [%]",
-              "Regressions [#]",
-              "Progressions [#]",
-              "Outliers [#]"
+              "  Short-Term   Change [%]",
+              "  Long-Term   Change [%]",
+              "  Regressions [#]",
+              "  Progressions [#]",
+              "  Outliers [#]"
               ]
     header_str = ",".join(header) + "\n"
 
@@ -745,6 +745,8 @@ def table_performance_trending_dashboard(table, input_data):
     for job, builds in table["data"].items():
         for build in builds:
             for tst_name, tst_data in data[job][str(build)].iteritems():
+                if tst_name in table["ignore-list"]:
+                    continue
                 if tbl_dict.get(tst_name, None) is None:
                     name = "{0}-{1}".format(tst_data["parent"].split("-")[0],
                                             "-".join(tst_data["name"].
@@ -775,8 +777,9 @@ def table_performance_trending_dashboard(table, input_data):
             stdev_t = data_t.rolling(window=win_size, min_periods=2).std()
             median_first_idx = pd_data.size - long_win_size
             try:
-                max_median = max([x for x in median_t.values[median_first_idx:]
-                                  if not isnan(x)])
+                max_median = max(
+                    [x for x in median_t.values[median_first_idx:-win_size]
+                     if not isnan(x)])
             except ValueError:
                 max_median = nan
             try: