如何在plotly中绘制线图，并根据按钮的按下更改图形

Question

下面是我的代码

# imports
import plotly.graph_objs as go
import pandas as pd


# plotly figure setup
fig = go.Figure()

# one trace for each df column
for brand in final_df2.brand.unique():
    df = final_df2[final_df2.brand == brand]
    fig.add_trace(go.Scatter(x=df.date, y=[df["price"].values,df["SHB Car price"].values],
                             name = brand,
                             mode = 'lines')
                 )
    
    

# one button for each df column
updatemenu= []
buttons=[]
for brand in final_df2.brand.unique():
    df = final_df2[final_df2.brand == brand]
    buttons.append(dict(method='restyle',
                        label=brand,
                        args=[{'y':[df["price"].values, df["SHB Car price"].values]}])
                  )

# some adjustments to the updatemenu
updatemenu=[]
your_menu=dict()
updatemenu.append(your_menu)
updatemenu[0]['buttons']=buttons
updatemenu[0]['direction']='down'
updatemenu[0]['showactive']=True

# update layout and show figure
fig.update_layout(updatemenus=updatemenu)
fig.show()

以下是最终的_df2的样子：

每个品牌应有一个按钮，按下该按钮时，应显示SHB汽车价格和价格。但是，使用上述代码将所有图形聚集在一个图中，如下所示：

这就是数据帧的外观：

 {'date': {11: Timestamp('2020-04-21 00:00:00'),
      12: Timestamp('2020-04-22 00:00:00'),
      14: Timestamp('2020-04-24 00:00:00'),
      17: Timestamp('2020-04-24 00:00:00'),
      19: Timestamp('2020-04-24 00:00:00'),
      22: Timestamp('2020-04-26 00:00:00'),
      23: Timestamp('2020-04-26 00:00:00'),
      25: Timestamp('2020-04-26 00:00:00'),
      27: Timestamp('2020-04-27 00:00:00'),
      28: Timestamp('2020-04-27 00:00:00')},
     'SHB Car price': {11: 65950.0,
      12: 80000.0,
      14: 81500.0,
      17: 104500.0,
      19: 155000.0,
      22: 88500.0,
      23: 89750.0,
      25: 99000.0,
      27: 65900.0,
      28: 107000.0},
     'price': {11: nan,
      12: nan,
      14: nan,
      17: nan,
      19: nan,
      22: nan,
      23: nan,
      25: nan,
      27: nan,
      28: nan},
     'brand': {11: 'opel',
      12: 'opel',
      14: 'opel',
      17: 'toyota',
      19: 'volvo',
      22: 'kia',
      23: 'nissan',
      25: 'toyota',
      27: 'dacia',
      28: 'kia'}}

此数据框在“品牌”列中包含不同的品牌。对于每个品牌，我需要绘制SHB汽车价格和价格