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.

Comienza con el ejemplo de Scattergl de la documentación enlazada sobre large-data-sets y reprodúcelo primero con 100.000 valores x aleatorios y después con x establecido en ceros. Compara el rendimiento de la interacción de zoom-box y del ratón entre ambos casos y determina qué comportamiento debe cambiar; se considerará terminado cuando los datos x degenerados ya no provoquen las largas demoras de interacción notificadas.