Allow multiple time-series for chart dataframe columns

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Summary

With the help of st.column_config, one can preview time-series in dataframe cells as a LineChart, BarChart or AreaChart.

It'd be nice to show multiple time-series in the same cell.

Why?

It could be useful to have multiple time-series shown in the same cell. For instance, in my use-case, I'd like to compare two versions of the same indicator for each country. This is useful when upgrading an indicator and visually assess how close they are and if it is safe to upgrade.

At the moment, my workaround consists in showing the old and new indicator's time-series in different columns, but this is not ideal as it is harder to compare them along the x-axis (note that they share the same axis). This is shown in the image below (columns New and Old; column Error = abs(Old - New)).

How?

I realise that this affects multiple things:

The data in the dataframe column could be possible a list of lists of dimensions NxM (N: number of timeseries, M: number of datapoints in the timeseries). Maybe something like:

data_df = pd.DataFrame(
    {
        "timeseries": [
            [
               [0, 4, 26, 80, 100, 40],
               [80, 20, 80, 35, 40, 100],
            ],
            [...],
            ...
        ]
    }
)

Possibly could add some parameters in st.column_config.LineChartColumn to support customization for each timeseries. Maybe colour support, as mentioned in https://github.com/streamlit/streamlit/issues/7533.

Open question: Above I'm assuming that each element in timeseries is of dimension NxM, i.e. al timeseries in the cell have same length M.

Output could be something like

Additional Context

No response

streamlit / streamlit