bezos_tracker_update_graph.py

def get_bezos_data():
    amzn_data = get_stock_data(tiingo_token).json()
    amzn_df = pd.DataFrame(amzn_data)
    amzn_df = amzn_df.assign(bezos_year=(amzn_df.close - amzn_df.iloc[0].close) * 498 * 10**6 * 0.112)
    return amzn_df

app.layout = dbc.Container([
    html.Div([
        dcc.Graph(
            id='bezos-worth-graph',
            config={"displayModeBar": False}
        ),
        dcc.Interval(
            id='bezos-graph-interval',
            interval=60 * 60 * 1000,  # in milliseconds
            n_intervals=0
        )
    ]),
])


@app.callback(Output('bezos-worth-graph', 'figure'),
              [Input('bezos-graph-interval', 'n_intervals')])
def update_graph(n):
    amzn_df = get_bezos_data()
    fig = px.scatter(amzn_df, x='date', y='bezos_year', template='ggplot2', title="Jeff Bezos' 2020 net worth gains",
                     labels={'close': 'Change to Net Worth (USD)', 'date': 'Date', 'bezos_year': 'YTD gains'})
    fig.update_traces(mode='lines+markers')
    fig.update_xaxes(rangebreaks=[dict(bounds=["sat", "mon"])])  # hide weekends
    return fig