Previous topic

numpy.square

Next topic

numpy.fabs

numpy.absolute

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

Calculate the absolute value element-wise.

np.abs is a shorthand for this function.

Parameters:
x : array_like

Input array.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword 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, values of False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see the ufunc docs.

Returns:
absolute : ndarray

An ndarray containing the absolute value of each element in x. For complex input, a + ib, the absolute value is \sqrt{ a^2 + b^2 }. This is a scalar if x is a scalar.

Examples