scipy.special.nctdtridf#
- scipy.special.nctdtridf(p, nc, t, out=None) = <ufunc 'nctdtridf'>#
- Calculate degrees of freedom for non-central t distribution. - See - nctdtrfor more details.- Parameters:
- parray_like
- CDF values, in range (0, 1]. 
- ncarray_like
- Noncentrality parameter. Should be in range (-1e6, 1e6). 
- tarray_like
- Quantiles, i.e., the upper limit of integration. 
- outndarray, optional
- Optional output array for the function results 
 
- Returns:
- dfscalar or ndarray
- The degrees of freedom. If all inputs are scalar, the return will be a float. Otherwise, it will be an array. 
 
 - See also - Examples - >>> from scipy.special import nctdtr, nctdtridf - Compute the CDF for several values of df: - >>> df = [1, 2, 3] >>> p = nctdtr(df, 0.25, 1) >>> p array([0.67491974, 0.716464 , 0.73349456]) - Compute the inverse. We recover the values of df, as expected: - >>> nctdtridf(p, 0.25, 1) array([1., 2., 3.])