Search code examples
pythonpython-3.xplotly-dashdashboard

In Dash (python), I have problem with slider and radioitem callback


Upon callback I get two errors:

  1. Property "slidevalue" was used with component ID: "ageslider" in one of the Input items of a callback. This ID is assigned to a dash_core_components.RangeSlider component in the layout, which does not support this property.
  2. TypeError: 'NoneType' object is not subscriptable

My code is:

dbc.Col([
                html.Div(id='Title_Slider', children='''Milo na ena LOLA''',
                         style={'margin-bottom':'50px', 'text-align':'center'}),
                html.Div(dcc.RangeSlider(id='**ageslider**',min=18,max=60,step=1,value=[18,60],
                        marks={str(Age): str(Age) for Age in data.Age.unique()}
                ), style={'width': '100%', 'padding': '0px 20px 20px 20px'}),

and

@app.callback(
    Output('bar-1', 'figure'),
    Input('dropdown1','value'),
    Input('ageslider','slidevalue'),
    Input('binat','bivalue'))    
def update_line_chart(filter_metric, **vage** , bi_value):
    v_min = **vage**[0]
    v_max = **vage**[1]
#age_filter is a custom func that works
    datac_ = age_filter(data, v_min, v_max)
    a=datac_.groupby([filter_metric,'Attrition']).apply(lambda x:x[filter_metric].count()).reset_index(name='Counts')
    fig = px.line(a, x=filter_metric, y="Counts", color='Attrition',markers=True,height=500, width=700)
    fig.update_layout(plot_bgcolor=colors['background'],paper_bgcolor=colors['background'], font_color=colors['text'])
    return fig

Does anyone know why RangeSlider faces this issue??


Solution

  • It should be value instead of slidevalue

    Input('ageslider','value'),
    

    I can't test second problem but I think value should also resolve it.


    Minimal working example:

    import dash
    from dash import dcc, html
    from dash.dependencies import Input, Output
    import dash_bootstrap_components as dbc
    import plotly.graph_objs as go
    import pandas as pd
    
    data = pd.DataFrame({
        'Age': list(range(18, 61, 5))
    })    
    
    app = dash.Dash(__name__)
    
    app.layout = dbc.Col([
        html.Div(id='Title_Slider', children='''Milo na ena LOLA'''),
        dcc.RangeSlider(id='ageslider', min=18, max=60, step=1, value=[18,60],
            marks={str(Age): str(Age) for Age in data.Age.unique()}
        ),
        dcc.Dropdown(id='dropdown1',
                        options=[
                            {'label': 'New York City', 'value': 'NYC'},
                            {'label': 'Montreal', 'value': 'MTL'},
                            {'label': 'San Francisco', 'value': 'SF'}
                        ],
                        value='NYC'
        ),
        dcc.Graph(id='bar-1'),    
        html.Div(id='output-text'),
    ])
    
    @app.callback(
        Output('bar-1', 'figure'),
        Output('output-text', 'children'),
        Input('dropdown1','value'),
        Input('ageslider','value'),
        #Input('binat','value')
    )    
    def update_line_chart(dropdown_value, slide_value): #, bi_value):
        print('min_val:', slide_value[0])
        print('max_val:', slide_value[1])
        fig = go.Figure(data=[go.Bar(x=[1, 2], y=slide_value)])
        text = f"{dropdown_value}: min: {slide_value[0]}, max: {slide_value[1]}"
        return fig, text
    
    if __name__ == '__main__':
        app.run_server(debug=True)
    

    enter image description here