PAL: Fix unit for packets lost

+ update the static content

Change-Id: I8c4852195e09d7b00555ebb4a7378743c3df45f2
Signed-off-by: Vratko Polak <vrpolak@cisco.com>

diff --git a/docs/report/vpp_performance_tests/reconf_tests/vnf_service_chains_reconf.rst b/docs/report/vpp_performance_tests/reconf_tests/vnf_service_chains_reconf.rst
index f17d567..268d40c 100644 (file)
--- a/docs/report/vpp_performance_tests/reconf_tests/vnf_service_chains_reconf.rst
+++ b/docs/report/vpp_performance_tests/reconf_tests/vnf_service_chains_reconf.rst
@@ -63,8 +63,8 @@ Additional information about graph data:
 #. **Y-axis Labels**: measured Implied time loss [s] values.
 
 #. **Graph Legend**: lists X-axis indices with associated CSIT test
-   suites executed to generate graphed test results and the average value and
-   standard deviation of measured packet loss in millions of packets.
+   suites executed to generate graphed test results and the average value
+   of measured packet loss.
 
 #. **Hover Information**: lists minimum, first quartile, median,
    third quartile, and maximum. If either type of outlier is present the

diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py
index 3e5da63..1179a0a 100644 (file)
--- a/resources/tools/presentation/generator_plots.py
+++ b/resources/tools/presentation/generator_plots.py
@@ -117,14 +117,13 @@ def plot_service_density_reconf_box_name(plot, input_data):
                           col.lower().replace('-ndrpdr', '').
                           replace('2n1l-', ''))
         tst_name = "-".join(tst_name.split("-")[3:-2])
-        name = "{nr}. ({samples:02d} run{plural}, avg pkt loss: {loss:.1f}, " \
-               "stdev: {stdev:.2f}) {name}".format(
+        name = "{nr}. ({samples:02d} run{plural}, packets lost average: " \
+               "{loss:.1f}, {name}".format(
                     nr=(i + 1),
                     samples=nr_of_samples[i],
                     plural='s' if nr_of_samples[i] > 1 else '',
                     name=tst_name,
-                    loss=mean(loss[col]) / 1000000,
-                    stdev=stdev(loss[col]) / 1000000)
+                    loss=mean(loss[col]))
 
         traces.append(plgo.Box(x=[str(i + 1) + '.'] * len(df[col]),
                                y=[y if y else None for y in df[col]],