dpnp.arcsin¶
- dpnp.arcsin = <DPNPUnaryFunc 'asin'>¶
Computes inverse sine for each element \(x_i\) for input array x.
The inverse of
dpnp.sin, so that if \(y = sin(x)\) then \(x = asin(y)\). Note thatdpnp.arcsinis an alias ofdpnp.asin.For full documentation refer to
numpy.asin.- Parameters:
- x{dpnp.ndarray, usm_ndarray}
Input array, expected to have a floating-point data type.
- out{None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
Output array to populate. Array must have the correct shape and the expected data type. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
Default:
None.- order{None, "C", "F", "A", "K"}, optional
Memory layout of the newly output array, if parameter out is
None.Default:
"K".
- Returns:
- outdpnp.ndarray
An array containing the element-wise inverse sine, 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.
Limitations
Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise
NotImplementedErrorexception will be raised.See also
dpnp.sinTrigonometric sine, element-wise.
dpnp.cosTrigonometric cosine, element-wise.
dpnp.acosTrigonometric inverse cosine, element-wise.
dpnp.tanTrigonometric tangent, element-wise.
dpnp.atanTrigonometric inverse tangent, element-wise.
dpnp.atan2Element-wise arc tangent of \(\frac{x1}{x2}\) choosing the quadrant correctly.
dpnp.asinhHyperbolic inverse sine, element-wise.
Notes
dpnp.asinis a multivalued function: for each x there are infinitely many numbers z such that \(sin(z) = x\). The convention is to return the angle z whose the real part lies in the interval \([-\pi/2, \pi/2]\).For real-valued floating-point input data types,
dpnp.asinalways returns real output. For each value that cannot be expressed as a real number or infinity, it yieldsNaN.For complex floating-point input data types,
dpnp.asinis a complex analytic function that has, by convention, the branch cuts \((-\infty, -1)\) and \((1, \infty)\) and is continuous from above on the former and from below on the latter.The inverse sine is also known as \(sin^{-1}\).
Examples
>>> import dpnp as np >>> x = np.array([0, 1, -1]) >>> np.asin(x) array([0.0, 1.5707963267948966, -1.5707963267948966])