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@Ben-Epstein
Description
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.
Screen.Recording.2021年12月29日.at.5.58.42.PM.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!