numpy.hypot¶

numpy.hypot(x1,x2,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature,extobj]) = <ufunc 'hypot'>¶

Given the “legs” of a right triangle, return its hypotenuse.

Equivalent tosqrt(x1**2+x2**2), element-wise. Ifx1 orx2 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, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

Returns:

z:ndarray The hypotenuse of the triangle(s).This is a scalar if bothx1 andx2 are scalars.

Examples

>>>np.hypot(3*np.ones((3,3)),4*np.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.]])