Dash Plotly Dynamic Callbacks Dashboard with More Charts

Pattern Matching Callbacks

import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output, ALL, State, MATCH, ALLSMALLER
import plotly.express as px
import pandas as pd
import numpy as np
df = pd.read_csv("https://raw.githubusercontent.com/Coding-with-Adam/Dash-by-Plotly/master/Callbacks/Pattern%20Matching%20Callbacks/Caste.csv")
df.rename(columns={'under_trial': 'under trial', 'state_name': 'state'}, inplace=True)
app = dash.Dash(__name__)
app.layout = html.Div([
    html.H1("Dash Plotly Dynamic Callbacks with more Charts Dashboard", style={"textAlign":"center"}),
    html.Hr(),
    html.P("Add as many charts for Data Visualization:"),
    html.Div(children=[
        html.Button('Add Chart', id='add-chart', n_clicks=0),
    ]),
    html.Div(id='container', children=[])
])
@app.callback(
    Output('container', 'children'),
    [Input('add-chart', 'n_clicks')],
    [State('container', 'children')]
)
def display_graphs(n_clicks, div_children):
    new_child = html.Div(
        style={'width': '45%', 'display': 'inline-block', 'outline': 'thin lightgrey solid', 'padding': 10},
        children=[
            dcc.Graph(
                id={
                    'type': 'dynamic-graph',
                    'index': n_clicks
                },
                figure={}
            ),
            dcc.RadioItems(
                id={
                    'type': 'dynamic-choice',
                    'index': n_clicks
                },
                options=[{'label': 'Bar Chart', 'value': 'bar'},
                         {'label': 'Line Chart', 'value': 'line'},
                         {'label': 'Scatter Chart', 'value': 'scatter'},
                         {'label': 'Pie Chart', 'value': 'pie'}],
                value='bar',
            ),
            dcc.Dropdown(
                id={
                    'type': 'dynamic-dpn-s',
                    'index': n_clicks
                },
                options=[{'label': s, 'value': s} for s in np.sort(df['state'].unique())],
                multi=True,
                value=["Andhra Pradesh", "Maharashtra"],
            ),
            dcc.Dropdown(
                id={
                    'type': 'dynamic-dpn-ctg',
                    'index': n_clicks
                },
                options=[{'label': c, 'value': c} for c in ['caste', 'gender', 'state']],
                value='state',
                clearable=False
            ),
            dcc.Dropdown(
                id={
                    'type': 'dynamic-dpn-num',
                    'index': n_clicks
                },
                options=[{'label': n, 'value': n} for n in ['detenues', 'under trial', 'convicts', 'others']],
                value='convicts',
                clearable=False
            )
        ]
    )
    div_children.append(new_child)
    return div_children
@app.callback(
    Output({'type': 'dynamic-graph', 'index': MATCH}, 'figure'),
    [Input(component_id={'type': 'dynamic-dpn-s', 'index': MATCH}, component_property='value'),
     Input(component_id={'type': 'dynamic-dpn-ctg', 'index': MATCH}, component_property='value'),
     Input(component_id={'type': 'dynamic-dpn-num', 'index': MATCH}, component_property='value'),
     Input({'type': 'dynamic-choice', 'index': MATCH}, 'value')]
)
def update_graph(s_value, ctg_value, num_value, chart_choice):
    print(s_value)
    dff = df[df['state'].isin(s_value)]

    if chart_choice == 'bar':
        dff = dff.groupby([ctg_value], as_index=False)[['detenues', 'under trial', 'convicts', 'others']].sum()
        fig = px.bar(dff, x=ctg_value, y=num_value)
        return fig
    elif chart_choice == 'line':
        if len(s_value) == 0:
            return {}
        else:
            dff = dff.groupby([ctg_value, 'year'], as_index=False)[['detenues', 'under trial', 'convicts', 'others']].sum()
            fig = px.line(dff, x='year', y=num_value, color=ctg_value)
            return fig
    elif chart_choice == 'scatter':
        if len(s_value) == 1:
            return {}
        else:
            dff = dff.groupby([ctg_value, 'year'], as_index=False)[['detenues', 'under trial', 'convicts', 'others']].sum()
            fig = px.scatter(dff, x='year', y=num_value, color=ctg_value)
            return fig    
    elif chart_choice == 'pie':
        fig = px.pie(dff, names=ctg_value, values=num_value)
        return fig
if __name__ == '__main__':
    app.run_server(debug=False)
Dash is running on http://127.0.0.1:8050/

 * Serving Flask app "__main__" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)