Add modeBarButtons Increase/Decrease textfont

📊 Plotly Python
1

How to add modeBarButtons Increase/Decrease textfont.size similar to Zoom in/Zoom out provided that the size increments\decrements by 1?

1. I implemented a codepen for plotly.js:
https://codepen.io/mx2048/pen/xYgYXe

Here I set specific values for textfont.size. But I want to retrieve current textfont.size from the plot and generate a new size.

2. Now how to do that via Python? So far, I succeeded in creating updatemenus buttons, but they should be the modeBarButtons.

See the code:

import plotly.graph_objs as go
from plotly.offline import plot

data = []
lone_point = go.Scatter(x=[1], y=[1],
                        mode='markers+text',
                        text='My point',
                        textposition='top',
                        textfont=dict(size=18),
                        )
data.append(lone_point)

updatemenus = list([
    dict(
        buttons=list([
            dict(
                args=['textfont', {'size': 22}],
                label='A+',
                method='restyle'
            ),
            dict(
                args=['textfont', {'size': 14}],
                label='A-',
                method='restyle'
            )
        ]),
        type='buttons',
    ),
])

layout = go.Layout(updatemenus=updatemenus)
figure = go.Figure(data=data, layout=layout)

config = dict(modeBarButtonsToRemove=['zoomIn2d', 'zoomOut2d'],
              # modeBarButtonsToAdd=[dict(
              #     name='Increase font size',
              #     # What to write here?
              # )]
              )

plot(figure, config=config)

I am considering embedding additional scripts because I know ID of my div plot. Something like that, but I am stuck here:

<script type="text/javascript">
        document.getElementById("{}").on('plotly_click', function(data){
            // do something I don't know
        });
</script>
2

Finally, I figured out how to do increment in plotly.js.
Here is the codepen https://codepen.io/mx2048/pen/EQZLrL

As to Python, my research shows that there is no such functionality yet, thus I had to insert the code snippet as a text string into the generated HTML file.