numpy.fabs#

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

Compute the absolute values element-wise.

This function returns the absolute values (positive magnitude) of thedata inx. Complex values are not handled, useabsolute to find theabsolute values of complex data.

Parameters:
xarray_like

The array of numbers for which the absolute values are required. Ifx is a scalar, the resulty will also be a scalar.

outndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

wherearray_like, optional

This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the defaultout=None, locations within it where the condition is False willremain uninitialized.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:
yndarray or scalar

The absolute values ofx, the returned values are always floats.This is a scalar ifx is a scalar.

See also

absolute

Absolute values includingcomplex types.

Examples

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