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# 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])