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SciPy

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 thedata inx. Complex values are not handled, useabsolute to find theabsolute values of complex data.

Parameters:

x : array_like

The array of numbers for which the absolute values are required. Ifx is a scalar, the resulty 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 havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:

y : ndarray or scalar

The absolute values ofx, the returned values are always floats.

See also

absolute
Absolute values includingcomplex types.

Examples

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

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  • Last updated on Jun 10, 2017.
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