From cd417be7f836eb9346fad4f87bd4f75dc1d9a429 Mon Sep 17 00:00:00 2001 From: Tibor Frank Date: Mon, 2 May 2022 10:39:24 +0200 Subject: feat(uti): Add structured menu for stats Change-Id: I907606b1b994e991975f887611750d23fd7f1634 Signed-off-by: Tibor Frank --- resources/tools/dash/app/pal/trending/graphs.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) (limited to '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 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 \ -- cgit 1.2.3-korg