numpy.sign — NumPy v1.11 Manual (original) (raw)

numpy.sign(_x_[, _out_]) = <ufunc 'sign'>

Returns an element-wise indication of the sign of a number.

The sign function returns -1 if x < 0, 0 if x==0, 1 if x > 0. nan is returned for nan inputs.

For complex inputs, the sign function returnssign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j.

complex(nan, 0) is returned for complex nan inputs.

Parameters: x : array_like Input values.
Returns: y : ndarray The sign of x.

Notes

There is more than one definition of sign in common use for complex numbers. The definition used here is equivalent to x/\sqrt{x*x}which is different from a common alternative, x/|x|.

Examples

np.sign([-5., 4.5]) array([-1., 1.]) np.sign(0) 0 np.sign(5-2j) (1+0j)