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!

Commencez par la reproduction Python fournie utilisant plotly.express.scatter et scrollZoom, puis examinez le comportement de la taille des marqueurs de dispersion pendant le zoom. Le travail est considéré comme terminé lorsqu’un comportement pris en charge avec une taille de marqueur absolue ou redimensionnée dynamiquement est établi, afin que les points restent interactifs lors d’un zoom avant, avec le comportement attendu démontré par la reproduction.