ruins.plotting.dists#
Distribution plots as used by the uncertainty application.
Module Contents#
Functions#
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Concept plot for PDFs of different events. |
- ruins.plotting.dists.distribution_plot(*events: List[dict], fig: plotly.graph_objects.Figure = None, **kwargs) plotly.graph_objects.Figure#
Concept plot for PDFs of different events. This plot illustrates the interdependece of Kngihtian uncertainty and risk for a set of events. At least one event has to be passed.
- Parameters:
events (List) –
Each event is represented by a dict, that has to contain the following keys: outcomes: List[Tuple[float, float]]
The mu and std of each outcome for this event
Additionally, the following keys are optional: dist : str
The distribution of the event. Default is ‘norm’.
- coloscalestr
The colorscale used to color the events. Default is a cycle through [‘Greens’, ‘Reds’, ‘Blues’]
- namestr
Name for this event
- Returns:
fig – Result plot
- Return type:
go.Figure