dpnp.arctan
- dpnp.arctan(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)
Computes inverse tangent for each element x_i for input array x.
The inverse of
dpnp.tan
, so that ify = tan(x)
thenx = arctan(y)
. Note thatdpnp.atan
is an alias ofdpnp.arctan
.For full documentation refer to
numpy.arctan
.- Parameters:
x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have numeric data type.
out ({None, dpnp.ndarray, usm_ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type. Default:
None
.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 inverse tangent, in radians and in the closed interval [-pi/2, pi/2]. 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.arctan2
Element-wise arc tangent of x1/x2 choosing the quadrant correctly.
dpnp.angle
Argument of complex values.
dpnp.tan
Trigonometric tangent, element-wise.
dpnp.arcsin
Trigonometric inverse sine, element-wise.
dpnp.arccos
Trigonometric inverse cosine, element-wise.
dpnp.arctanh
Inverse hyperbolic tangent, element-wise.
Notes
dpnp.arctan
is a multivalued function: for each x there are infinitely many numbers z such thattan(z) = x
. The convention is to return the angle z whose real part lies in [-pi/2, pi/2].For real-valued input data types,
dpnp.arctan
always returns real output. For each value that cannot be expressed as a real number or infinity, it yieldsnan
.For complex-valued input,
dpnp.arctan
is a complex analytic function that has, by convention, the branch cuts [1j, infj] and [-1j, -infj] and is continuous from the left on the former and from the right on the latter.The inverse tan is also known as \(atan\) or \(tan^{-1}\).
Examples
>>> import dpnp as np >>> x = np.array([0, 1]) >>> np.arctan(x) array([0.0, 0.78539816])