diff options
| author |   Tibor Frank <tifrank@cisco.com> | 2022-05-02 10:39:24 +0200 |
|---|---|---|
| committer | Tibor Frank <tifrank@cisco.com> | 2022-05-03 09:51:18 +0000 |
| commit | cd417be7f836eb9346fad4f87bd4f75dc1d9a429 (patch) | |
| tree | eca75a80eabdfcb97c9eb0f2791197a7c13c987a /resources/tools/dash/app/pal/trending | |
| parent | 54b40c5fbfa6102d3e71502ebcb9ca56cb5ef80c (diff) | |
feat(uti): Add structured menu for stats
Change-Id: I907606b1b994e991975f887611750d23fd7f1634
Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'resources/tools/dash/app/pal/trending')
| -rw-r--r-- | resources/tools/dash/app/pal/trending/graphs.py | 10 |
1 files changed, 4 insertions, 6 deletions
diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py index 16cb5a2cb3..1d9fd1ccfa 100644 --- a/resources/tools/dash/app/pal/trending/graphs.py +++ b/resources/tools/dash/app/pal/trending/graphs.py @@ -201,11 +201,12 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame, df = df.dropna(subset=[_VALUE[ttype], ]) if df.empty: return list() - - x_axis = [d for d in df["start_time"] if d >= start and d <= end] - if not x_axis: + df = df.loc[((df["start_time"] >= start) & (df["start_time"] <= end))] + if df.empty: return list() + 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]])} ) @@ -327,9 +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"titlefont": { - # u"size": 14 - # }, u"tickmode": u"array", u"tickvals": [0.167, 0.500, 0.833], u"ticktext": _TICK_TEXT_LAT \ |