How to combine multiple line charts using two dropdown boxes?

📊 Plotly Python
1

Hi,
I am trying to make a single chart containing one or two lines with the use of dropdown boxes. Currently I have two dropdown boxes with each the same lines from the dataset. If I click on a line from either of the dropdown boxes it now only plots one of the lines and removes the other. But I want the option to only display one line from the first dropdown box and a none option from the second. And I want to be able to select a second line from the second dropdown box and have it be plotted along with the line from the first box.

This is my code currently:

def multi_plot(df, addAll=True):
  fig = go.Figure()

  for column in df.columns.to_list():
    fig.add_trace(
      go.Scatter(
        x = df.index,
        y = df[column],
        name = column
    )
  )

  button_all = dict(label = 'All',
                    method = 'update',
                    args = [{'visible': df.columns.isin(df.columns),
                              'title': 'All',
                              'showlegend':True}])
  
  def create_layout_button(column):
        return dict(label = column,
                    method = 'update',
                    args = [{'visible': df.columns.isin([column]),
                             'title': column,
                             'showlegend': True}])

  fig.update_layout(
      updatemenus=[
          dict(
            y = 1,
            buttons=([button_all] * addAll) + list(df.columns.map(lambda column: create_layout_button(column)))
          ),
          dict(
            y = 0.9,
            buttons=([button_all] * addAll) + list(df.columns.map(lambda column: create_layout_button(column)))
          )
        ]
        
  )
      
  fig.update_layout(
    xaxis=dict(
          rangeselector=dict(
            buttons=list([
                dict(count=1,
                     label="1m",
                     step="month",
                     stepmode="backward"),
                dict(count=6,
                     label="6m",
                     step="month",
                     stepmode="backward"),
                dict(count=1,
                     label="YTD",
                     step="year",
                     stepmode="todate"),
                dict(count=1,
                     label="1y",
                     step="year",
                     stepmode="backward"),
                dict(step="all")
            ])
        ),
          rangeslider=dict(
            visible=True
          ),
          type='date'
        )
  )

  fig.show()