带有图像的情节动画非常慢。可以做哪些优化？

Question

谁能帮我理解为什么帧播放速度这么慢？这只是我想要实现超过 100 个带有数据点的图像的过程的示例。当我添加播放按钮时，它将无法在每一帧中足够快地加载图像，但散点会针对每一帧进行精细更新。即使手动移动滑块，加载图像组件也会出现相当多的延迟。 有没有更有效的方法来创建这种类型的动画？

import numpy as np
import plotly
import plotly.express as px
import plotly.graph_objects as go

imgR = np.random.rand(360, 700)
x=np.random.randint(200,size=10)
y=np.random.randint(200,size=10)

fig=px.imshow(imgR,
              color_continuous_scale='gray',
              origin='lower'
              )
fig.add_trace(go.Scatter(name='Flame Front',
                         x=x, 
                         y=y,
                         mode='markers'                  
                         )
)


frames = []
for i in range(5):
    if i > 0:
        np.random.shuffle(x)
        np.random.shuffle(y)
    # need to name the frame for slider, plus make sure both traces are using
    # correct axes
    frames.append(
        go.Frame(
            name=str(i),
            data=[
                px.imshow(np.random.rand(360, 700) if i > 0 else imgR).data[0],
                go.Scatter(x=x, y=y)
            ],
        )
    )




# now have all parts to puild figure
figa = go.Figure(data=fig.data, frames=frames, layout=fig.layout)

# add slider
figa.update_layout(
    sliders=[
        {
            "active": 0,
            "currentvalue": {"prefix": "animation_frame="},
            "len": 0.9,
            "steps": [
                {
                    "args": [
                        [fr.name],
                        {
                            "frame": {"duration": 0, "redraw": True},
                            "mode": "immediate",
                            "fromcurrent": True,
                        },
                    ],
                    "label": fr.name,
                    "method": "animate",
                }
                for fr in figa.frames
            ],
        }
    ],
)

figa.update_layout(
    showlegend=True,
    title="Plot Title",
    xaxis_title="X Axis",
    yaxis_title="Y Axis",
    legend_title="Legend Title",
    legend=dict(
        xanchor='right',
        yanchor='top',
        traceorder="reversed",
        title_font_family="Times New Roman",
        font=dict(
            family="Courier",
            size=12,
            color="black"
        )
    )
)

figa.show()