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# scipy.special.inv_boxcox1p

scipy.special.inv_boxcox1p(y, lmbda, out=None) = <ufunc 'inv_boxcox1p'>

  Compute the inverse of the Box-Cox transformation.

  Find `x` such that:

      y = ((1+x)**lmbda - 1) / lmbda  if lmbda != 0
          log(1+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 boxcox1p, inv_boxcox1p
      >>> y = boxcox1p([1, 4, 10], 2.5)
      >>> inv_boxcox1p(y, 2.5)
      array([1., 4., 10.])