numpy.hypot — NumPy v1.11 Manual (original) (raw)
numpy.hypot(x1, _x2_[, _out_]) = <ufunc 'hypot'>¶
Given the “legs” of a right triangle, return its hypotenuse.
Equivalent to sqrt(x1**2 + x2**2), element-wise. If x1 or_x2_ is scalar_like (i.e., unambiguously cast-able to a scalar type), it is broadcast for use with each element of the other argument. (See Examples)
| Parameters: | x1, x2 : array_like Leg of the triangle(s). out : ndarray, optional Array into which the output is placed. Its type is preserved and it must be of the right shape to hold the output. See doc.ufuncs. |
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| Returns: | z : ndarray The hypotenuse of the triangle(s). |
Examples
np.hypot(3np.ones((3, 3)), 4np.ones((3, 3))) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]])
Example showing broadcast of scalar_like argument:
np.hypot(3*np.ones((3, 3)), [4]) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]])