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!

从使用 plotly.express.scatter 和 scrollZoom 的 Python 复现开始，然后跟踪散点标记的大小在缩放期间的表现。当建立起受支持的绝对标记大小或动态调整标记大小的行为，使点在放大时仍可交互，并通过该复现展示预期行为时，即可视为完成。