def split_value(val):
    """
    Splits a value *val* into its significand and decimal exponent (magnitude) and returns them in a
    2-tuple. *val* might also be a numpy array. Example:

    .. code-block:: python

        split_value(1)     # -> (1.0, 0)
        split_value(0.123) # -> (1.23, -1)
        split_value(-42.5) # -> (-4.25, 1)

        a = np.array([1, 0.123, -42.5])
        split_value(a) # -> ([1., 1.23, -4.25], [0, -1, 1])

    The significand will be a float while magnitude will be an integer. *val* can be reconstructed
    via ``significand * 10**magnitude``.
    """
    val = ensure_nominal(val)

    if not is_numpy(val):
        # handle 0 separately
        if val == 0:
            return (0., 0)

        mag = int(math.floor(math.log10(abs(val))))
        sig = float(val) / (10.**mag)

    else:
        log = np.zeros(val.shape)
        np.log10(np.abs(val), out=log, where=(val != 0))
        mag = np.floor(log).astype(np.int)
        sig = val.astype(np.float) / (10.**mag)

    return (sig, mag)
Splits a value *val* into its significand and decimal exponent (magnitude) and returns them in a
    2-tuple. *val* might also be a numpy array. Example:

    .. code-block:: python

        split_value(1)     # -> (1.0, 0)
        split_value(0.123) # -> (1.23, -1)
        split_value(-42.5) # -> (-4.25, 1)

        a = np.array([1, 0.123, -42.5])
        split_value(a) # -> ([1., 1.23, -4.25], [0, -1, 1])

    The significand will be a float while magnitude will be an integer. *val* can be reconstructed
    via ``significand * 10**magnitude``.