使用了Plotly库来创建一个数据可视化图表，并使用滑块来控制显示哪些数据

import plotly.graph_objects as go
from plotly.subplots import make_subplots

# 示例数据
x = [1, 2, 3, 4, 5]
y1 = [1, 2, 3, 4, 5]
y2 = [5, 4, 3, 2, 1]
y3 = [2, 3, 1, 5, 4]

# 创建子图
fig = make_subplots(rows=1, cols=1)

# 添加初始数据
fig.add_trace(
    go.Scatter(x=x, y=y1, name="Data 1", visible=True),
    row=1, col=1
)
fig.add_trace(
    go.Scatter(x=x, y=y2, name="Data 2", visible=False),
    row=1, col=1
)
fig.add_trace(
    go.Scatter(x=x, y=y3, name="Data 3", visible=False),
    row=1, col=1
)

# 创建滑块
steps = []
for i, y in enumerate([y1, y2, y3]):
    step = dict(
        method="update",
        args=[{"visible": [False] * 3}, {"title": "Data {}".format(i+1)}],
        label="Data {}".format(i+1)
    )
    step["args"][0]["visible"] = [False] * 3
    step["args"][0]["visible"][i] = True
    steps.append(step)

sliders = [dict(
    active=0,
    currentvalue={"prefix": "Show: "},
    steps=steps
)]

# 更新布局
fig.update_layout(
    sliders=sliders,
    title="Data Visualization"
)

# 显示图表
fig.show()