Previous topic

numpy.absolute

Next topic

numpy.sign

This is documentation for an old release of NumPy (version 1.13). Read this page in the documentation of the latest stable release (version 2.2).

numpy.fabs

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

Compute the absolute values element-wise.

This function returns the absolute values (positive magnitude) of the data in x. Complex values are not handled, use absolute to find the absolute values of complex data.

Parameters:

x : array_like

The array of numbers for which the absolute values are required. If x is a scalar, the result y will also be a scalar.

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:

y : ndarray or scalar

The absolute values of x, the returned values are always floats.

See also

absolute
Absolute values including complex types.

Examples

>>> np.fabs(-1)
1.0
>>> np.fabs([-1.2, 1.2])
array([ 1.2,  1.2])