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.


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.


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


y : ndarray or scalar

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

See also

Absolute values including complex types.


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

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