numpy.positive#

numpy.positive(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature]) = <ufunc 'positive'>#

Numerical positive, element-wise.

Parameters:

xarray_like or scalar: Input array.

Returns:

yndarray or scalar: Returned array or scalar: y = +x. This is a scalar if x is a scalar.

Notes

Equivalent to x.copy(), but only defined for types that support arithmetic.

Examples

>>> import numpy as np

>>> x1 = np.array(([1., -1.]))
>>> np.positive(x1)
array([ 1., -1.])

The unary + operator can be used as a shorthand for np.positive on ndarrays.

>>> x1 = np.array(([1., -1.]))
>>> +x1
array([ 1., -1.])