Login Register

numpy.negative()

numpy.negative(x[, out]) =

Numerical negative, element-wise.

Parameters:

x : array_like or scalar

Input array.

Returns:

y : ndarray or scalar

Returned array or scalar: y = -x.

Examples

>>> np.negative([1.,-1.])
array([-1.,  1.])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.negative.html

doc_NumPy

2017-01-10 18:16:19

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.random.negative_binomial() numpy.random.negative_binomial(n, p, size=None) Draw samples from a negative binomial distribution. Samples are drawn from a negative binomial di

gmp_neg (PHP 4 >= 4.0.4, PHP 5, PHP 7) Negate number GMP gmp_neg ( GMP $a ) Returns

variant_neg (PHP 5, PHP 7) Performs logical negation on a variant mixed variant_neg ( mixed $variant )

ndarray.__neg__ ndarray.__neg__ x.__neg__() <==> -x

tf.neg() tf.neg(x, name=None) Computes numerical negative value element-wise. I.e., (y = -x). Args: x: A Tensor or SparseTensor. Must be one of the followin