df_y = pd.DataFrame(y_vals)
df_y.head()
for i, col in enumerate(df_y.columns):
+
tst_name = re.sub(REGEX_NIC, u"",
- col.lower().replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u''))
+ col.lower().replace(u'-reconf', u'').
+ replace(u'2n1l-', u'').replace(u'2n-', u'').
+ replace(u'testpmd', u''))
- if u"ipsec" in tst_name:
- show_name = u'-'.join(tst_name.split(u'-')[2:-1])
- else:
- show_name = u'-'.join(tst_name.split(u'-')[3:-2])
traces.append(plgo.Box(
x=[str(i + 1) + u'.'] * len(df_y[col]),
y=df_y[col],
f"({nr_of_samples[i]:02d} "
f"run{u's' if nr_of_samples[i] > 1 else u''}, "
f"packets lost average: {mean(loss[col]):.1f}) "
- f"{show_name}"
+ f"{u'-'.join(tst_name.split(u'-')[2:])}"
),
hoverinfo=u"y+name"
))