Customdata with heatmap

📊 Plotly Python
1

I am plotting a heatmap with some custom data, using a dataframe to store the values. I know that as my values increase I will need to use the customdata param to specify the hover effect.

With go.Scatter, this works as described:

def scatter_drawdown(df, x="Datetime", y=Price, color=["black"]):

    # customdata
    dt = pd.Series([(str(t.month_name())[:3] + " " + str(t.day) + ", " + str(
        t.hour)[:2] + ":" + "0" + str(t.minute)) if len(str(t.minute)) < 2 else
        (str(t.month_name())[:3] + " " + str(t.day) + ", " + str( t.hour)[:2] +
        ":" + str(t.minute)) for t in df[x]])

    y0 = pd.Series([round(f, 2) for f in df[y]])
    d0 = pd.Series(df["5_Day_Drawdown"])
    tk = pd.Series(df["Ticker"])
    pc = pd.Series([Price]*len(df))

    # trace
    trace0 = go.Scatter(
        x=df[x],
        y=y0.values,
        customdata=pd.concat([tk, dt, d0, pc], axis=1),
        name=tk.values[0],
        hovertemplate=
        "<b>%{customdata[0]}</b><br>" +
        "%{customdata[3]}: $%{y}<br>" +
        "Time: %{customdata[1]}<br>" +
        "Drawdown: %{customdata[2]}<br>" +
        "<extra></extra>",
        showlegend=True,
        marker={"color":color, "opacity": 1.00},
    )

    return trace0

However, when I use the same parameter logic with go.Heatmap, the code breaks.

    tit = pd.Series(df["Ticker"])
    pc = pd.Series([Price]*len(df))

    trace1 = go.Histogram2d(
        x = gb[tx1],
        y = gb["Time"],
        z = gb[dollars_baby],
        histfunc="avg",
        customdata=pd.concat([tit, pc], axis=1),
        hovertemplate=
        "<b>Average %{customdata[1]}: $%{z}</b><br>" +
        "Time: %{y}<br>" +
        "Day: %{x}<br>" +
        "<extra></extra>",
        colorscale=colorscale
    )

Please let me know the best way to coallate the information to the customdata param. Passing it into an array seems unnecessarily complex.