Here is my dataset:

After locking my dataframe by year and grouping by month, I proceed with calculating percentage increase/decrease as a new column; it ends up looking like this:

Now for my Plotly plot I use this to display traces and add some hover info:

fig.add_trace(go.Scatter(x=group_dfff.Months, y=group_dfff.Amount, name=i,
                        hovertemplate='Price: $%{y:.2f}'+'<br>Week: %{x}'))

Now as you can see there is an argument hovertemplate where I can pass my x and y... However, I can't figure out how to include my PERC_CHANGE values in it too.

Question: How to include other wanted columns' values inside the hovertemplate? Specifically, How do I include PERC_CHANGE values as I shown desired output below:

I solved my specific problem, check pic below (adding 3rd element it is, please see comments), however question remains the same as I do not see how to do this for 4th, 5th and so on elements.

Help is really appreciated!

For Plotly Express, you need to use the custom_data argument when you create the figure. For example:

fig = px.scatter(
    data_frame=df, 
    x='ColX', 
    y='ColY', 
    custom_data=['Col1', 'Col2', 'Col3']
)

and then modify it using update_traces and hovertemplate, referencing it as customdata. For example:

fig.update_traces(
    hovertemplate="<br>".join([
        "ColX: %{x}",
        "ColY: %{y}",
        "Col1: %{customdata[0]}",
        "Col2: %{customdata[1]}",
        "Col3: %{customdata[2]}",
    ])
)

This took a lot of trial and error to figure out, as it isn't well-documented, and the inconsistency between the custom_data and customdata is confusing.