Updating and graph source data using aggregate

Community Support
1

I’m building Bokeh dashboard with country data to dynamically change graph for a line graph.

User are able to select multiple countries using CheckboxGroup.

I am able to subset source table dynamically as I select/deselect countries.

After I subset, I am aggregating source table for graph where problem occurs. (group all countries by date)

This is what I currently have:
we assume we define fig1

def make_plot(src):
    temp = pd.DataFrame.from_dict(src.data)
    agg_date_full = ColumnDataSource(temp.groupby('date').sum().reset_index())
    fig1.line('date', 'y',source=agg_date_full)

def update(attr, old, new):
    country_to_plot = [country_checkbox.labels[i] for i in country_checkbox.active]
    new_src = make_dataset(country_to_plot)
    src.data.update(new_src.data)

country_checkbox = CheckboxGroup(labels=country_labels, active= list(range(0,len(country_labels))))
country_checkbox.on_change('active', update)

initial_countries = [country_checkbox.labels[i] for i in country_checkbox.active]

src = make_dataset(initial_countries)
    
p = make_plot(src)

I understand that we have to directly use source=src but I need to aggregate every time I update new source.

Is there any suggestion on how I can approach this issue?

I also created SO post as well.

Thanks!