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real#

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

Test each element x_i of the input array x to take only real part from it. Returns a float array, where it only contains . If element has complex type with zero complex part, the return value will be that element, else it only returns real part.

Parameters:

  • x (Union[Array, NativeArray]) – input array.

  • 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 test results. An element out_i is real number if x_i contain real number part only and if it is real number with complex part also then it returns the real number part. The returned array must have a floating-point data type with the same floating-point precision as x (e.g., if x is complex64, the returned array must have the floating-point precision of float32).

  • The descriptions above assume an array input for simplicity, but

  • the method also accepts ivy.Container instances

  • in place of (class:ivy.Array or ivy.NativeArray)

  • instances, as shown in the type hints and also the examples below.

Examples

With ivy.Array inputs:

>>> x = ivy.array([[[1.1], [2], [-6.3]]])
>>> z = ivy.real(x)
>>> print(z)
ivy.array([[[1.1], [2.], [-6.3]]])

>>> x = ivy.array([4.2-0j, 3j, 7+5j])
>>> z = ivy.real(x)
>>> print(z)
ivy.array([4.2, 0., 7.])

With ivy.Container input:

>>> x = ivy.Container(a=ivy.array([-6.7-7j, 0.314+0.355j, 1.23]),                          b=ivy.array([5j, 5.32-6.55j, 3.001]))
>>> z = ivy.real(x)
>>> print(z)
{
    a: ivy.array([-6.7, 0.314, 1.23]),
    b: ivy.array([0., 5.32, 3.001])
}
Array.real()#

Real part of the array.

Returns:

ret – array containing the real part of each element in the array. The returned array must have the same shape and data type as the original array.

Container.real(self, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

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

Parameters:

  • self (Container) – input container. Should have a real-valued floating-point 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 test result. An element out_i is self_i if self_i is real number else took real number part only if self_i contains real number and complex number both. The returned array should have a data type of float.

Examples

>>> x = ivy.Container(a=ivy.array([-1j, 0.335+2.345j, 1.23+7j]),                          b=ivy.array([0.0, 1.2+3.3j, 1+0j]))
>>> x.real()
{
    a: ivy.array([0., 0.335, 1.23]),
    b: ivy.array([0.0, 1.2, 1.])
}
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