traces = list()
df = pd.DataFrame(y_vals)
df.head()
- y_max = list()
for i, col in enumerate(df.columns):
tst_name = re.sub(REGEX_NIC, "",
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]],
hoverinfo="x+y",
boxpoints="outliers",
whiskerwidth=0))
- try:
- val_max = max(df[col])
- except ValueError as err:
- logging.error(repr(err))
- continue
- if val_max:
- y_max.append(int(val_max) + 1)
-
try:
# Create plot
layout = deepcopy(plot["layout"])
layout["title"] = "<b>Time Lost:</b> {0}".format(layout["title"])
layout["yaxis"]["title"] = "<b>Implied Time Lost [s]</b>"
layout["legend"]["font"]["size"] = 14
- if y_max:
- layout["yaxis"]["range"] = [0, max(y_max)]
+ layout["yaxis"].pop("range")
plpl = plgo.Figure(data=traces, layout=layout)
# Export Plot