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sqrt(x)

For negative input elements, a complex value is returned (unlike :None:None:`numpy.sqrt` which returns NaN).

Parameters

x : array_like

The input value(s).

Returns

out : ndarray or scalar

The square root of x. If x was a scalar, so is :None:None:`out`, otherwise an array is returned.

Compute the square root of x.

See Also

numpy.sqrt

Examples

For real, non-negative inputs this works just like :None:None:`numpy.sqrt`:

>>> np.emath.sqrt(1)
1.0
>>> np.emath.sqrt([1, 4])
array([1.,  2.])

But it automatically handles negative inputs:

>>> np.emath.sqrt(-1)
1j
>>> np.emath.sqrt([-1,4])
array([0.+1.j, 2.+0.j])
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.sqrt

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GitHub : /numpy/lib/scimath.py#198
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