grid

dsa.grid(base, grids)

Full-factorial design over the listed parameters, rest at base.

Parameters

Name	Type	Description	Default
base	pd.Series	Point values of every parameter, indexed by name.	required
grids	Mapping[str, Sequence[float]]	Maps each gridded parameter to the values it takes; the design is every combination of them.	required

Returns

Name	Type	Description
	Design	A (design, descriptor) pair with prod(len(v)) + 1 scenarios: the
	Design	base case first, then the factorial. The descriptor carries one column
	Design	per gridded parameter with its value in that scenario.

Example

import pandas as pd from heormodel.dsa import grid base = pd.Series({“a”: 1.0, “b”: 2.0, “c”: 3.0}) design, descriptor = grid(base, {“a”: [0.0, 1.0], “b”: [10.0, 20.0]}) len(design) 5 descriptor[“scenario”].iloc[0] ‘(base)’ design[“c”].tolist() [3.0, 3.0, 3.0, 3.0, 3.0]