scipy.special.pdtri#
- scipy.special.pdtri(k, y, out=None) = <ufunc 'pdtri'>#
- Inverse to - pdtrvs m- Returns the Poisson variable m such that the sum from 0 to k of the Poisson density is equal to the given probability y: calculated by - gammaincinv(k + 1, y). k must be a nonnegative integer and y between 0 and 1.- Parameters:
- karray_like
- Number of occurrences (nonnegative, real) 
- yarray_like
- Probability 
- outndarray, optional
- Optional output array for the function results 
 
- Returns:
- scalar or ndarray
- Values of the shape parameter m such that - pdtr(k, m) = p
 
 - See also - Examples - >>> import scipy.special as sc - Compute the CDF for several values of m: - >>> m = [0.5, 1, 1.5] >>> p = sc.pdtr(1, m) >>> p array([0.90979599, 0.73575888, 0.5578254 ]) - Compute the inverse. We recover the values of m, as expected: - >>> sc.pdtri(1, p) array([0.5, 1. , 1.5])