Additional parameters for callbacks

@offline_dash wrote:

I tried to generate dynamic callbacks like this:

y_axe = [None, 'n_trips']
debug = ['debug1', 'debug2', 'debug3', 'debug4', 'debug5']
x_time = [
    ('x-time-series-df-tc-all', 'x-time-filter-df-tc-all', 0, 3, 0), ('x-time-series-df-tc-1', 'x-time-dropdown-df-tc-1', 0, 3, 1),
    ('x-time-series-1', 'x-time-filter-1', 1, 2, 2), ('x-time-series-2', 'x-time-filter-2', 1, 2, 3), ('x-time-series-3', 'x-time-filter-3', 1, 2, 4),  
]

for (graph, fname, y, i, d) in x_time:
    @app.callback(
        [Output(graph, 'figure'), Output(debug[d], 'children'),],
        [Input('date-picker-range', 'start_date'),
         Input('date-picker-range', 'end_date'),
         Input(fname, 'value')])
    def update_graphs1(start, stop, cfilter):
        start = int(start.split("T")[0].replace("-", ""))
        stop = int(stop.split("T")[0].replace("-", ""))
        dff = None
        dff = df[i].loc[(start <= df[i]['day']) & (df[i]['day'] <= stop)]
        if cfilter is '': cfilter = '*'
        if y_axe[y] is None: y_axe[y] = cfilter
        val = debug[d]
        return generate_time_series_figure(dff, cfilter, y_axe[y]), val

But this isn’t working, and my the Output of my debug children always looked like this:

• debug5
• debug5
• debug5
• debug5
• debug5

But they should look like this:

• debug1
• debug2
• debug3
• debug4
• debug5

Is there a way to use additional parameters for the function of the callback like this:

for (graph, fname, y, i, d) in x_time:
    @app.callback(
        [Output(graph, 'figure'), Output(debug[d], 'children'),],
        [Input('date-picker-range', 'start_date'),
         Input('date-picker-range', 'end_date'),
         Input(fname, 'value'),
         y, i, d
    ])
    def update_graphs1(start, stop, cfilter, y, i, d):

I want to choose my DataFrame, y_axe with an list of tuples, my first try rather looked like this but had the same issues:

x_time = [
    ('x-time-series-df-tc-all', 'x-time-filter-df-tc-all', None, 3), ('x-time-series-df-tc-1', 'x-time-dropdown-df-tc-1', None, 3),
    ('x-time-series-1', 'x-time-filter-1', 'n_trips', 2), ('x-time-series-2', 'x-time-filter-2', 'n_trips', 2), ('x-time-series-3', 'x-time-filter-3', 'n_trips', 2),  
]
for (graph, fname, y_axe, i) in x_time:
    @app.callback(
        Output(graph, 'figure'),
        [Input('date-picker-range', 'start_date'),
         Input('date-picker-range', 'end_date'),
         Input(fname, 'value')])
    def update_graphs2(start, stop, cfilter):
        start = int(start.split("T")[0].replace("-", ""))
        stop = int(stop.split("T")[0].replace("-", ""))
        y = y_axe
        dff = None
        dff = df[i].loc[(start <= df[i]['day']) & (df[i]['day'] <= stop)]
        if cfilter is '': cfilter = '*'
        if y is None: y = cfilter
        return generate_time_series_figure(dff, cfilter, y)

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