Go figure updates slowly

📊 Plotly Python
1

I have a plotly graph consisting of 3 overlapping bar plots and a line. The data is around 4-5000 points

Whenever I zoom in and out, it takes about a second in response time, which I think is way too slow for this low amount of data. Does anyone have an idea of what I can do to improve the speed?

Below is my code for the figure

def make_summary_fig(data):
    fig = go.Figure(
        data=[
            go.Bar(
                x=data['DATE_COL'],
                y=data['GROUP1'],
                name='Group 1',
                marker_line_width=0,
                marker_color='cornflowerblue'
            ),
            go.Bar(
                x=data['DATE_COL'],
                y=data['GROUP2'],
                name='Group 2',
                marker_line_width=0,
                marker_color='firebrick'
            ),
            go.Bar(
                x=data['DATE_COL'],
                y=data['GROUP3'],
                name='Group 3',
                marker_line_width=0,
                marker_color='darkseagreen'
            ),
            go.Scatter(
                x=data['DATE_COL'],
                y=data['Group 4'],
                name='Group 4',
                line=dict(color='orange', dash='dash', width=3),
            )
        ],
    )
    fig.update_layout(barmode='overlay')
    fig.update_layout(
        xaxis=dict(
            rangeselector=dict(
                buttons=list([
                    dict(count=1,
                         label="1m",
                         step="month",
                         stepmode="backward"),
                    dict(count=3,
                         label="3m",
                         step="month",
                         stepmode="backward"),
                    dict(count=1,
                         label="YTD",
                         step="year",
                         stepmode="todate"),
                    dict(step="all")
                ])
            ),
            rangeslider=dict(
                visible=True
            ),
            type="date"
        )
    )
    fig.update_traces(hovertemplate='Time: %{x}<br>Volume: %{y}')
    fig.update_yaxes(fixedrange=True)
    fig.add_vline(x=data.time, line_width=1, line_dash="dash", line_color="grey")
    return fig