Is it possible to store graph objects in a dict or list?

📊 Plotly Python
1

I have a basic dash app but it has a lot of graphs, around 60+. Currently I have all my fig = px(…) written out one by one, but I would like to move to iterate through a dictionary of tables to create these figures. the figures then will go in the dash app hmtl.

I tried something like this, but I guess i don’t even know if these objects could be stored like this, or if this is the right concept to tackle this problem.

fx_charts = {}

for i in fx_tbls:

*#where fx_tbls{df1:dataframe, df2:dataframe, df3:dataframe}*

   graph = px.line(fx_tbls[i], x='time', y='mid.c', title='{}'.format(i))

   graph.update_xaxes(

      title = 'Date Range',

      rangeslider_visible=True,

      rangeselector=dict(

          bgcolor = '#F89880',

          activecolor = '#FF4433',

          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")      

              ])

       )

   )

  graph.update_yaxes(title = '')

  graph.update_traces(line_color='#FF4500')

  graph.update_layout(

    plot_bgcolor='#1f2833',

    paper_bgcolor='#1f2833',

    font_color = 'white')

print(type(graph))

fx_charts[i] = graph

print(len(fx_charts))