phy = itm["phy"].split("-")
if len(phy) == 4:
topo, arch, nic, drv = phy
- if drv in ("dpdk", "ixgbe"):
+ if drv == "dpdk":
drv = ""
else:
drv += "-"
return list()
x_axis = [d for d in df["start_time"] if d >= start and d <= end]
+ if not x_axis:
+ return list()
anomalies, trend_avg, trend_stdev = _classify_anomalies(
{k: v for k, v in zip(x_axis, df[_VALUE[ttype]])}