scipy.special.inv_boxcox — SciPy v1.15.2 Manual (original) (raw)

scipy.special.inv_boxcox(y, lmbda, out=None) = <ufunc 'inv_boxcox'>#

Compute the inverse of the Box-Cox transformation.

Find x such that:

y = (x**lmbda - 1) / lmbda if lmbda != 0 log(x) if lmbda == 0

Parameters:

yarray_like

Data to be transformed.

lmbdaarray_like

Power parameter of the Box-Cox transform.

outndarray, optional

Optional output array for the function values

Returns:

xscalar or ndarray

Transformed data.

Notes

Added in version 0.16.0.

Examples

from scipy.special import boxcox, inv_boxcox y = boxcox([1, 4, 10], 2.5) inv_boxcox(y, 2.5) array([1., 4., 10.])