Scattergl plot is sometimes slow to interact with even with moderate number of points

With constant number of points and other settings, I see that Scattergl rendering times vary a lot. With 100,000 points, there are cases where it is virtually impossible to interact with the plot (e.g. zoom), and just moving the mouse seem to cause lengthy calculations.

For example, the following code from the doc works well:

import plotly.graph_objects as go
import numpy as np

N = 100000
fig = go.Figure(data=go.Scattergl(
    x = np.random.randn(N),
    y = np.random.randn(N),
    mode='markers',
    marker=dict(
        color=np.random.randn(N),
        colorscale='Viridis',
        line_width=1
    )
))

fig.show()

but if I replace the x data by zeros,

    x = np.zeros(N),

performance is significantly degraded (so much that using Scatter instead of Scattergl becomes better when trying to zoom in a box).

Any ideas where the difference is coming from and how performance could be improved in this case?

Thanks.

リンク先の large-data-sets ドキュメントにある Scattergl の例から始め、まず 100,000 個のランダムな x 値で、次に x をゼロに設定して再現します。2 つのケースで zoom-box とマウス操作のパフォーマンスを比較し、どの挙動を変更する必要があるかを判断します。縮退した x データによって報告されている長い操作遅延が発生しなくなれば完了です。