Plotly，Python -有没有一种方法可以构建一个最小频率滑块来过滤散点图上的结果？

import plotly.express as px
import plotly.graph_objects as go
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

app = dash.Dash(__name__)

# 创建散点图
fig = go.Figure(data=go.Scatter(
    x=[1, 2, 3, 4, 5],
    y=[2, 1, 3, 2, 4],
    mode='markers'
))

# 将散点图添加到Dash应用程序的布局中
app.layout = html.Div([
    dcc.Graph(id='scatter-plot', figure=fig),
    dcc.Slider(
        id='frequency-slider',
        min=0,
        max=5,
        step=0.5,
        value=0,
        marks={i: str(i) for i in range(6)}
    )
])

if __name__ == '__main__':
    app.run_server(debug=True)

@app.callback(
    Output('scatter-plot', 'figure'),
    [Input('frequency-slider', 'value')]
)
def update_scatter_plot(value):
    fig.data[0].visible = [y <= value for y in fig.data[0].y]
    return fig