✊🏿 Black Lives Matter. Please consider donating to Black Girls Code today.
⚡️ Concerned about the grid? Kyle Baranko teaches how to predicting peak loads using XGBoost. Register for the August webinar!

LOWESS Trendline on Scatter Plot Shows Invalid Data

I’ve noticed an anomaly on my lowess chart but I cannot see anything that would be causing this spike. The number is Mbps and the maximum value in the database is below.

{'CorrectedLoad__max': 1843.335}

The chart I’m looking at.

If i zoom in on just the section used for this LOWESS segment I get the following.

Any thoughts on how I can identify this issue?

If it matters, the code used to generate this chart follows.

fig = px.scatter(
    df,
    x="TestTime",
    y="CorrectedLoad",
    color="SoftwareVersion",
    trendline="lowess",
    range_x=[start_date, end_date],
    title=f"{DUTModel} | Acceptable Frame Loss 0.5% | 1000 Flows BiDi",
    template="ggplot2",
    labels={
        "CorrectedLoad": "Throughput (Mbps)",
        "TestTime": "Test Timestamp",
        "SoftwareVersion": "Software Version",
    },
)