scipy.special.boxcox#
- scipy.special.boxcox(x, lmbda, out=None) = <ufunc 'boxcox'>#
- Compute the Box-Cox transformation. - The Box-Cox transformation is: - y = (x**lmbda - 1) / lmbda if lmbda != 0 log(x) if lmbda == 0 - Returns nan if - x < 0. Returns -inf if- x == 0and- lmbda < 0.- Parameters:
- xarray_like
- Data to be transformed. 
- lmbdaarray_like
- Power parameter of the Box-Cox transform. 
- outndarray, optional
- Optional output array for the function values 
 
- Returns:
- yscalar or ndarray
- Transformed data. 
 
 - Notes - Added in version 0.14.0. - Examples - >>> from scipy.special import boxcox >>> boxcox([1, 4, 10], 2.5) array([ 0. , 12.4 , 126.09110641]) >>> boxcox(2, [0, 1, 2]) array([ 0.69314718, 1. , 1.5 ])