arcsin(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
arcsin
is a multivalued function: for each x
there are infinitely many numbers :None:None:`z`
such that $sin(z) = x$
. The convention is to return the angle :None:None:`z`
whose real part lies in [-pi/2, pi/2].
For real-valued input data types, arcsin always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan
and sets the :None:None:`invalid`
floating point error flag.
For complex-valued input, arcsin
is a complex analytic function that has, by convention, the branch cuts [-inf, -1] and [1, inf] and is continuous from above on the former and from below on the latter.
The inverse sine is also known as :None:None:`asin`
or sin^{-1}.
:None:None:`y`
-coordinate on the unit circle.
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out`
array will be set to the ufunc result. Elsewhere, the :None:None:`out`
array will retain its original value. Note that if an uninitialized :None:None:`out`
array is created via the default out=None
, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
The inverse sine of each element in x
, in radians and in the closed interval [-pi/2, pi/2]
. This is a scalar if x
is a scalar.
Inverse sine, element-wise.
>>> np.arcsin(1) # pi/2 1.5707963267948966This example is valid syntax, but we were not able to check execution
>>> np.arcsin(-1) # -pi/2 -1.5707963267948966This example is valid syntax, but we were not able to check execution
>>> np.arcsin(0) 0.0See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.arccos
numpy.ma.core.arcsin
numpy.ma.core.sin
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