Dashboard

This package contains the following classes and functions.

Note

This is the complete exposed API. Not all classes and functions are meant for the End-user

shyft.dashboard

shyft.dashboard.base	Base contains core constructs and concepts
shyft.dashboard.time_series	Visualizing time-series, percentiles, interactively
shyft.dashboard.graph	The graph component, visualizing topology
shyft.dashboard.maps	Visualizing items in a geographical map
shyft.dashboard.widgets	Dashboard widgets
shyft.dashboard.util	Utilities useful during development

shyft.dashboard

The dashboard module for easy creating adhoc and apps interactive visualizing maps, charts, tables

Start bokeh apps

shyft.dashboard.apps.start_bokeh_apps.start_bokeh_apps(apps: List[Type[AppBase]], show: bool = False, port: int = 5006, log_level=40, async_on: bool = True, async_max_worker: int = 12, show_logger_box: bool = False, server_kwargs: Dict[str, Any] | None = None, app_kwargs: List[Dict[str, Any]] | Dict[str, Any] | None = None) → None

This function starts a bokeh serve with the apps provided to the function

Parameters:

• apps – List of AppBase classes

• show – if True a browser with all apps will be opened

• port – port where on which the apps are loaded ‘localhost:port’

• log_level – Logging level in the console

• async_on – use async data loading

• async_max_worker – number of workers for thread pool doing the async data loading

• show_logger_box – enable in-app logger

• server_kwargs – keyword arguments for the Bokeh / tornado server

• app_kwargs – list of dictionaries of additional keyword arguments for the apps, if a single dictionary is passed, a list is created with the same length as the number of apps