scipy.special.tandg#
- scipy.special.tandg(x, out=None) = <ufunc 'tandg'>#
Tangent of angle x given in degrees.
- Parameters:
- xarray_like
Angle, given in degrees.
- outndarray, optional
Optional output array for the function results.
- Returns:
- scalar or ndarray
Tangent at the input.
Notes
Array API Standard Support
tandghas support for Python Array API Standard compatible backends in addition to NumPy. The following combinations of backend and device (or other capability) are supported.Library
CPU
GPU
NumPy
✅
n/a
CuPy
n/a
✅
PyTorch
✅
⛔
JAX
✅
⛔
Dask
✅
n/a
For the NumPy backend, this function supports all NumPy ufunc keyword arguments. Other backends may support
out, but none of the other ufunc kwargs.outis typically supported for CuPy and PyTorch, but not currently in cases where SciPy relies on a generic Array API implementation or, for PyTorch on CPU, falls back to the NumPy backend.outis never supported for JAX because JAX arrays are immutable.tandgdoes not currently supportoutfor the PyTorch backend.See Support for the array API standard for more information.
Examples
>>> import numpy as np >>> import scipy.special as sc
It is more accurate than using tangent directly.
>>> x = 180 * np.arange(3) >>> sc.tandg(x) array([0., 0., 0.]) >>> np.tan(x * np.pi / 180) array([ 0.0000000e+00, -1.2246468e-16, -2.4492936e-16])