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authorTibor Frank <tifrank@cisco.com>2019-05-15 08:53:42 +0200
committerTibor Frank <tifrank@cisco.com>2019-05-15 08:55:07 +0200
commitfce7b4b339f7a79b80143bbd796460720489d694 (patch)
tree5124fcb1b6d4e672a350b1fc70c868e556dfbdf0 /resources/tools/presentation/generator_tables.py
parent1469b71f48bb4e397ebaa65fbaf0512be691ec49 (diff)
CSIT-1504: Soak tests - box plots
- table: stdev, round deltas to 2 dec places Change-Id: I29cd1f7c9ba8ef73a8281d42ac9f6a06ed30bbdf Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/presentation/generator_tables.py')
-rw-r--r--resources/tools/presentation/generator_tables.py25
1 files changed, 14 insertions, 11 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index 887ee72797..f4c3e54ce4 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -608,21 +608,24 @@ def table_soak_vs_ndr(table, input_data):
tbl_lst = list()
for tst_name in tbl_dict.keys():
item = [tbl_dict[tst_name]["name"], ]
- data_t = tbl_dict[tst_name]["ref-data"]
- if data_t:
- item.append(round(mean(data_t) / 1000000, 2))
- item.append(round(stdev(data_t) / 1000000, 2))
+ data_r = tbl_dict[tst_name]["ref-data"]
+ if data_r:
+ data_r_mean = mean(data_r)
+ item.append(round(data_r_mean / 1000000, 2))
+ item.append(round(stdev(data_r) / 1000000, 2))
else:
+ data_r_mean = None
item.extend([None, None])
- data_t = tbl_dict[tst_name]["cmp-data"]
- if data_t:
- item.append(round(mean(data_t) / 1000000, 2))
- item.append(round(stdev(data_t) / 1000000, 2))
+ data_c = tbl_dict[tst_name]["cmp-data"]
+ if data_c:
+ data_c_mean = mean(data_c)
+ item.append(round(data_c_mean / 1000000, 2))
+ item.append(round(stdev(data_c) / 1000000, 2))
else:
+ data_c_mean = None
item.extend([None, None])
- if item[-4] is not None and item[-2] is not None and item[-4] != 0:
- item.append(int(relative_change(float(item[-4]), float(item[-2]))))
- if len(item) == len(header):
+ if data_r_mean and data_c_mean is not None:
+ item.append(round(relative_change(data_r_mean, data_c_mean), 2))
tbl_lst.append(item)
# Sort the table according to the relative change