numpy.frexp — NumPy v1.11 Manual (original) (raw)

numpy.frexp(_x_[, out1, _out2_]) = <ufunc 'frexp'>

Decompose the elements of x into mantissa and twos exponent.

Returns (mantissa, exponent), where x = mantissa * 2**exponent`. The mantissa is lies in the open interval(-1, 1), while the twos exponent is a signed integer.

Parameters: x : array_like Array of numbers to be decomposed. out1 : ndarray, optional Output array for the mantissa. Must have the same shape as x. out2 : ndarray, optional Output array for the exponent. Must have the same shape as x.
Returns: (mantissa, exponent) : tuple of ndarrays, (float, int) mantissa is a float array with values between -1 and 1.exponent is an int array which represents the exponent of 2.

See also

ldexp

Compute y = x1 * 2**x2, the inverse of frexp.

Notes

Complex dtypes are not supported, they will raise a TypeError.

Examples

x = np.arange(9) y1, y2 = np.frexp(x) y1 array([ 0. , 0.5 , 0.5 , 0.75 , 0.5 , 0.625, 0.75 , 0.875, 0.5 ]) y2 array([0, 1, 2, 2, 3, 3, 3, 3, 4]) y1 * 2**y2 array([ 0., 1., 2., 3., 4., 5., 6., 7., 8.])