In mathematics, the inverse of the trigonometric ratio sine is known as arcsin.
In NumPy, a library of the high-level programming language Python, we can use the arcsin
function to calculate the arcsin
of a given value.
The numpy
library must be imported to use the arcsin
function:
import numpy as np
np.arcsin(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])= <ufunc 'arcsin'>
A universal function (
ufunc
) is a function that operates on ndarrays in an element-by-element fashion. Thearcsin
method is a universal function.
The arcsin
function only accepts the following arguments:
x
: An array-like structure on the contents of which the arcsin
function will be applied.out
(optional): The function’s output is stored at this location.where
(optional): If set True
, a universal function is calculated at this position.casting
(optional): This enables the user to decide how the data will be cast. If set as same_kind, safe casting will take place.order
(optional): This determines the memory layout of the output. For example, if set as K, the function reads data in the order they are written in memory.dtype
(optional): This is the data type of the array.subok
(optional): To pass subclasses, subok
must be set as True
.For real valued inputs, the arcsin
function returns an angle in the range [-pi/2, pi/2]
. For complex numbers, the range is [-inf, -1]
and [1, inf]
.
If a number can not be represented as a real number or infinity, it returns nan
, and the invalid floating point error flag is set.
Note that the range of the
sine
function is −1 ≤ sin x ≤ 1. Hence, any input out of this range will be treated as invalid by thearcsin
function. Sincearcsin
is the inverse of sine, the range of sine is the domain ofarcsin
!
The following example demonstrates how the arcsin
function responds to complex, real, or invalid inputs.
To use the arcsin
function, we first import the numpy
library, which contains it.
import numpy as npprint("Complex input:", np.arcsin(3+2j))print("Invalid input:", np.arcsin(5))print("Real input:", np.arcsin(.5))
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