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feat(uti): Add structured menu for stats
[csit.git]
/
resources
/
tools
/
dash
/
app
/
pal
/
trending
/
graphs.py
diff --git
a/resources/tools/dash/app/pal/trending/graphs.py
b/resources/tools/dash/app/pal/trending/graphs.py
index
6e0bcb5
..
1d9fd1c
100644
(file)
--- a/
resources/tools/dash/app/pal/trending/graphs.py
+++ b/
resources/tools/dash/app/pal/trending/graphs.py
@@
-165,7
+165,7
@@
def select_trending_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
phy = itm["phy"].split("-")
if len(phy) == 4:
topo, arch, nic, drv = phy
phy = itm["phy"].split("-")
if len(phy) == 4:
topo, arch, nic, drv = phy
- if drv
in ("dpdk", "ixgbe")
:
+ if drv
== "dpdk"
:
drv = ""
else:
drv += "-"
drv = ""
else:
drv += "-"
@@
-199,10
+199,13
@@
def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
"""
df = df.dropna(subset=[_VALUE[ttype], ])
"""
df = df.dropna(subset=[_VALUE[ttype], ])
+ if df.empty:
+ return list()
+ df = df.loc[((df["start_time"] >= start) & (df["start_time"] <= end))]
if df.empty:
return list()
if df.empty:
return list()
- x_axis =
[d for d in df["start_time"] if d >= start and d <= end]
+ x_axis =
df["start_time"].tolist()
anomalies, trend_avg, trend_stdev = _classify_anomalies(
{k: v for k, v in zip(x_axis, df[_VALUE[ttype]])}
anomalies, trend_avg, trend_stdev = _classify_anomalies(
{k: v for k, v in zip(x_axis, df[_VALUE[ttype]])}
@@
-325,9
+328,6
@@
def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
u"len": 0.8,
u"title": u"Circles Marking Data Classification",
u"titleside": u"right",
u"len": 0.8,
u"title": u"Circles Marking Data Classification",
u"titleside": u"right",
- # u"titlefont": {
- # u"size": 14
- # },
u"tickmode": u"array",
u"tickvals": [0.167, 0.500, 0.833],
u"ticktext": _TICK_TEXT_LAT \
u"tickmode": u"array",
u"tickvals": [0.167, 0.500, 0.833],
u"ticktext": _TICK_TEXT_LAT \