X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fdash%2Fapp%2Fpal%2Ftrending%2Fgraphs.py;h=1d9fd1ccfa4508d7892c9bf62d53575f054a2e22;hp=6e0bcb55ebd25d2c1ebef362e866078a180384f7;hb=cd417be7f836eb9346fad4f87bd4f75dc1d9a429;hpb=1a367d70be36906a6f43f7bc2b060ed8d1059eb9

diff --git a/resources/tools/dash/app/pal/trending/graphs.py b/resources/tools/dash/app/pal/trending/graphs.py
index 6e0bcb55eb..1d9fd1ccfa 100644
--- 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
-        if drv in ("dpdk", "ixgbe"):
+        if drv == "dpdk":
             drv = ""
         else:
             drv += "-"
@@ -199,10 +199,13 @@ def _generate_trending_traces(ttype: str, name: str, df: pd.DataFrame,
     """
 
     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()
 
-    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]])}
@@ -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"titlefont": {
-                        #     u"size": 14
-                        # },
                         u"tickmode": u"array",
                         u"tickvals": [0.167, 0.500, 0.833],
                         u"ticktext": _TICK_TEXT_LAT \