scipy.special.inv_boxcox#
- 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
New 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.])