scipy.special.chdtri#
- scipy.special.chdtri(v, p, out=None) = <ufunc 'chdtri'>#
Inverse to
chdtrc
with respect to x.Returns x such that
chdtrc(v, x) == p
.- Parameters:
- varray_like
Degrees of freedom.
- parray_like
Probability.
- outndarray, optional
Optional output array for the function results.
- Returns:
- xscalar or ndarray
Value so that the probability a Chi square random variable with v degrees of freedom is greater than x equals p.
Notes
Array API Standard Support
chdtri
has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variableSCIPY_ARRAY_API=1
and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.Library
CPU
GPU
NumPy
✅
n/a
CuPy
n/a
✅
PyTorch
✅
⛔
JAX
⚠️ no JIT
⛔
Dask
✅
n/a
See Support for the array API standard for more information.
References
[1]Chi-Square distribution, https://www.itl.nist.gov/div898/handbook/eda/section3/eda3666.htm
Examples
>>> import scipy.special as sc
It inverts
chdtrc
.>>> v, p = 1, 0.3 >>> sc.chdtrc(v, sc.chdtri(v, p)) 0.3 >>> x = 1 >>> sc.chdtri(v, sc.chdtrc(v, x)) 1.0