pystra.decision.studies.DesignStudy#

Use it: User guide · Worked example · Theory

class DesignStudy(variable, values, analysis)[source]#

Bases: object

Evaluate a reliability callback over a one-dimensional design range.

Parameters:

  • variable (str) – Design-variable name for output tables; must not shadow result columns.

  • values (Iterable[Any]) – Design alternatives, copied to a tuple so repeated runs retain the grid.

  • analysis (Callable[[Any], Any]) – Called once for each value. May return a reliability record, an analytic probability, a (pf, beta) pair, or a mapping with pf and/or beta. Records retain status and diagnostics. AnalysisError becomes a failed alternative; invalid specifications and programming errors still raise.

Methods

evaluate

Run the callback and return estimates with explicit status columns.

run

Return design/result snapshots for all alternatives, including failures.
run()[source]#

Return design/result snapshots for all alternatives, including failures.

Return type:

DesignStudyResult

evaluate(include_analysis=False)[source]#

Run the callback and return estimates with explicit status columns.

Return type:

DataFrame