# abs#

ivy.abs(x, /, *, out=None)[source]#

Calculate the absolute value for each element `x_i` of the input array `x` (i.e., the element-wise result has the same magnitude as the respective element in `x` but has positive sign).

Note

For signed integer data types, the absolute value of the minimum representable integer is implementation-dependent.

Special Cases

For real-valued floating-point operands,

• If `x_i` is `NaN`, the result is `NaN`.

• If `x_i` is `-0`, the result is `+0`.

• If `x_i` is `-infinity`, the result is `+infinity`.

For complex floating-point operands, let `a = real(x_i)` and `b = imag(x_i)`. and

• If `a` is either `+infinity` or `-infinity` and `b` is any value (including `NaN`), the result is `+infinity`.

• If `a` is any value (including `NaN`) and `b` is `+infinity`, the result is `+infinity`.

• If `a` is either `+0` or `-0`, the result is `abs(b)`.

• If `b` is `+0` or `-0`, the result is `abs(a)`.

• If `a` is `NaN` and `b` is a finite number, the result is `NaN`.

• If `a` is a finite number and `b` is `NaN`, the result is `NaN`.

• If `a` is `Na``N and ``b` is `NaN`, the result is `NaN`.

Parameters:
• x (`Union`[`float`, `Array`, `NativeArray`]) – input array. Should have a numeric data type

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Returns:

ret – an array containing the absolute value of each element in `x`. The returned array must have the same data type as `x`.

This function conforms to the Array API Standard. This docstring is an extension of the docstring in the standard.

Both the description and the type hints above assumes an array input for simplicity, but this function is nestable, and therefore also accepts `ivy.Container` instances in place of any of the arguments

Examples

With `ivy.Array` input:

```>>> x = ivy.array([-1,0,-6])
>>> y = ivy.abs(x)
>>> print(y)
ivy.array([1, 0, 6])
```
```>>> x = ivy.array([3.7, -7.7, 0, -2, -0])
>>> y = ivy.abs(x)
>>> print(y)
ivy.array([ 3.7, 7.7, 0., 2., 0.])
```
```>>> x = ivy.array([[1.1, 2.2, 3.3], [-4.4, -5.5, -6.6]])
>>> ivy.abs(x, out=x)
>>> print(x)
ivy.array([[ 1.1,  2.2,  3.3],
[4.4, 5.5, 6.6]])
```

With `ivy.Container` input:

```>>> x = ivy.Container(a=ivy.array([0., 2.6, -3.5]), b=ivy.array([4.5, -5.3, -0, -2.3])) # noqa
>>> y = ivy.abs(x)
>>> print(y)
{
a: ivy.array([0., 2.6, 3.5]),
b: ivy.array([4.5, 5.3, 0., 2.3])
}
```
Array.abs(self, /, *, out=None)[source]#

ivy.Array instance method variant of ivy.abs. This method simply wraps the function, and so the docstring for ivy.abs also applies to this method with minimal changes.

Parameters:
• self (`Union`[`float`, `Array`, `NativeArray`]) – input array. Should have a numeric data type.

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Returns:

ret – an array containing the absolute value of each element in `self`. The returned array must have the same data type as `self`.

Examples

```>>> x = ivy.array([2.6, -6.6, 1.6, -0])
>>> y = x.abs()
>>> print(y)
ivy.array([ 2.6, 6.6, 1.6, 0.])
```
Container.abs(self, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

ivy.Container instance method variant of ivy.abs. This method simply wraps the function, and so the docstring for ivy.abs also applies to this method with minimal changes.

Parameters:
• self (`Container`) – input container. Should have a numeric data type.

• key_chains (`Optional`[`Union`[`List`[`str`], `Dict`[`str`, `str`], `Container`]], default: `None`) – The key-chains to apply or not apply the method to. Default is `None`.

• to_apply (`Union`[`bool`, `Container`], default: `True`) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default is `True`.

• prune_unapplied (`Union`[`bool`, `Container`], default: `False`) – Whether to prune key_chains for which the function was not applied. Default is `False`.

• map_sequences (`Union`[`bool`, `Container`], default: `False`) – Whether to also map method to sequences (lists, tuples). Default is `False`.

• out (`Optional`[`Container`], default: `None`) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Container`

Returns:

ret – a container containing the absolute value of each element in `self`. The returned container must have the same data type as `self`.

Examples

```>>> x = ivy.Container(a=ivy.array([-1.6, 2.6, -3.5]),
...                   b=ivy.array([4.5, -5.3, -2.3]))
>>> y = x.abs()
>>> print(y)
{
a: ivy.array([1.6, 2.6, 3.5]),
b: ivy.array([4.5, 5.3, 2.3])
}
```