dpnp.tan

dpnp.tan(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes tangent for each element x_i for input array x.

For full documentation refer to numpy.tan.

Parameters:

• x ({dpnp.ndarray, usm_ndarray}) – Input array, expected to have numeric data type.

• out ({None, dpnp.ndarray}, optional) – Output array to populate. Array must have the correct shape and the expected data type.

• order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array, if parameter out is None. Default: “K”.

Returns:

out – An array containing the element-wise tangent. The data type of the returned array is determined by the Type Promotion Rules.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise NotImplementedError exception will be raised.

See also

dpnp.arctan

Trigonometric inverse tangent, element-wise.

dpnp.sin

Trigonometric sine, element-wise.

dpnp.cos

Trigonometric cosine, element-wise.

dpnp.tanh

Hyperbolic tangent, element-wise.

Examples

>>> import dpnp as np
>>> x = np.array([-np.pi, np.pi/2, np.pi])
>>> np.tan(x)
array([1.22460635e-16, 1.63317787e+16, -1.22460635e-16])