-
numpy.sqrt(x[, out]) =
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Return the positive square-root of an array, element-wise.
Parameters: x : array_like
The values whose square-roots are required.
out : ndarray, optional
Alternate array object in which to put the result; if provided, it must have the same shape as
x
Returns: y : ndarray
An array of the same shape as
x
, containing the positive square-root of each element inx
. If any element inx
is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements inx
are real, so isy
, with negative elements returningnan
. Ifout
was provided,y
is a reference to it.See also
-
lib.scimath.sqrt
- A version which returns complex numbers when given negative reals.
Notes
sqrt has?consistent with common convention?as its branch cut the real ?interval? [
-inf
, 0), and is continuous from above on it. A branch cut is a curve in the complex plane across which a given complex function fails to be continuous.Examples
>>> np.sqrt([1,4,9]) array([ 1., 2., 3.])
>>> np.sqrt([4, -1, -3+4J]) array([ 2.+0.j, 0.+1.j, 1.+2.j])
>>> np.sqrt([4, -1, numpy.inf]) array([ 2., NaN, Inf])
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numpy.sqrt()
2017-01-10 18:18:46
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