Make marker size absolute in scatterplot

It seems that when creating a scatterplot, the marker sizes are always in pixels. The result is that when zooming into the plot, the points remain small. Is there a way to have them dynamically resize? Or set the size to be absolute instead of pixel?

A code snippet to showcase the point

import pandas as pd
import numpy as np
import plotly.express as px


some_data = pd.DataFrame({"id":list(range(50_000)), "x":np.random.normal(size=50_000), "y":np.random.normal(size=50_000)})
some_data["c"] = pd.Categorical(np.random.randint(low=0,high=2,size=50_000))


fig = px.scatter(some_data, x="x", y="y", color="c")

fig.update_traces(marker=dict(size=3, opacity=0.5),
                  selector=dict(mode='markers'))

fig.update_layout({
    'plot_bgcolor': 'rgba(0, 0, 0, 0)',
    'paper_bgcolor': 'rgba(0, 0, 0, 0)',
})

fig.update_yaxes(matches=None, showticklabels=False, visible=False)
fig.update_xaxes(matches=None, showticklabels=False, visible=False)


config = dict({'scrollZoom': True})

fig.show(config=config)

Zoomed out, this is a nice graph that shows the distribution clearly, but when zooming in, the points are so small it's nearly impossible to interact with any individual one.

https://user-images.githubusercontent.com/22605641/147709359-34eb5036-d96e-4feb-a32f-f9076a7f3b4d.mov

Is there a way for those points to have absolute sizes instead of fixed ones? Such that zooming in would cause them to increase (as would be intuitive naturally)?

Thanks!

Comienza con la reproducción de Python proporcionada usando plotly.express.scatter y scrollZoom; después, sigue cómo se comporta el tamaño de los marcadores de dispersión durante el zoom. Se considera terminado cuando se establezca un comportamiento compatible de marcadores con tamaño absoluto o redimensionamiento dinámico, de modo que los puntos sigan siendo interactivos al ampliar la vista, con el comportamiento esperado demostrado mediante la reproducción.