绘制滑块以过滤散点图

Question

当我将数据可视化为散点图时，我想使用滑块。

def fit_huber_line(x, y):
    from sklearn.linear_model import HuberRegressor, LinearRegression

    # given one dimensional x and y vectors - return x and y for fitting a line on top of the regression
    A = np.vstack([x, np.ones(len(x))]).T
    huber = HuberRegressor().fit(A, y)

    c = huber.intercept_ + huber.coef_[1]
    m = huber.coef_[0]

    return m, c

suppdata = pd.DataFrame({"x" : list(np.arange(0, 5, 0.1)),
                         "y" : list(np.arange(0, 5, 0.1)*2)  })

fig = px.scatter(suppdata, x='x', y='y',
                 hover_data=suppdata.columns.to_list(), title=mytitle)

m, c = fit_huber_line(x = suppdata['x'], 
                      y = suppdata['y'])

# over lay the line - using a robus regression
my_x = suppdata['x']

fig.add_trace(
    go.Scatter(
        x= my_x,
        y= m * my_x + c,
        mode="lines",
        line=go.scatter.Line(color="red"),
        showlegend=False)
    )

mid_point = (max(my_x) - min(my_y))/2

fig.update_layout(
    showlegend=False,
    annotations=[
        go.layout.Annotation(
            x=mid_point,
            y=mid_point*m + c,
            xref="x",
            yref="y",
            text=str(round(m, 2))+'x+'+str(round(c, 2)) ,
            )
        ]
    )

因此，理想情况下，我希望有两个滑块可以在x和y轴上进行过滤。