numpy.square¶
-
numpy.
square
(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'square'>¶ Return the element-wise square of the input.
Parameters: x : array_like
Input data.
out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs
For other keyword-only arguments, see the ufunc docs.
Returns: out : ndarray
Element-wise x*x, of the same shape and dtype as x. Returns scalar if x is a scalar.
See also
Examples
>>> np.square([-1j, 1]) array([-1.-0.j, 1.+0.j])