import time from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor  import dash import dash_html_components as html import dash_core_components as dcc import plotly.graph_objs as go import numpy as np  # number of seconds between re-calculating the data                                                                                                                            UPDADE_INTERVAL = 5  def get_new_data():     """Updates the global variable 'data' with new data"""     global data     data = np.random.normal(size=1000)   def get_new_data_every(period=UPDADE_INTERVAL):     """Update the data every 'period' seconds"""     while True:         get_new_data()         print("data updated")         time.sleep(period)   def make_layout():     chart_title = "data updates server-side every {} seconds".format(UPDADE_INTERVAL)     return html.Div(         dcc.Graph(             id='chart',             figure={                 'data': [go.Histogram(x=data)],                 'layout': {'title': chart_title}             }         )     )  app = dash.Dash(__name__)  # get initial data                                                                                                                                                             get_new_data()  # we need to set layout to be a function so that for each new page load                                                                                                        # the layout is re-created with the current data, otherwise they will see                                                                                                      # data that was generated when the Dash app was first initialised                                                                                                              app.layout = make_layout  # Run the function in another thread executor = ThreadPoolExecutor(max_workers=1) executor.submit(get_new_data_every)   if __name__ == '__main__':     app.run_server(debug=True)

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