Plotly-Dash: Data Visualization Framework

import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash(__name__)

app.layout = html.Div(children=[
    html.H1(children='Hello Dash'),
    dcc.Graph(
        id='example-graph',
        figure={
            'data': [
                {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},
                {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'line', 'name': 'Montreal'},
            ],
            'layout': {
                'title': 'Dash Data Visualization'
            }
        }
    )
])

if __name__ == '__main__':
    app.run_server(debug=True)

import dash
class App(dash.Dash):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.layout = self.build_layout()
        self.callback()

    def build_layout(self):
        return html.Div([
            html.H3("Live Updates"),
            dcc.Graph(id="live-update-graph"),
            dcc.Interval(
                id='interval-component',
                interval=1*1000, # em milissegundos
                n_intervals=0
            )
        ])

    def callback(self):
        @self.callback(
            dash.dependencies.Output('live-update-graph', 'figure'),
            [dash.dependencies.Input('interval-component', 'n_intervals')]
        )
        def update_graph(n):
            import random
            df = {
                "x": range(0, n),
                "y": [random.randint(0, 10) for _ in range(n)]
            }
            return {'data': [{'x': df['x'], 'y': df['y'], 'type': 'scatter', 'mode': 'lines+markers'}]}

app = App()
if __name__ == '__main__':
    app.run_server(debug=True)