numpy.frexp
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numpy.frexp(x, [out1, out2, ]/, [out=(None, None), ]*, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'frexp'>
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Decompose the elements of x into mantissa and twos exponent.
Returns (
mantissa
,exponent
), wherex = 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
. -
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: -
mantissa : ndarray
-
Floating values between -1 and 1. This is a scalar if
x
is a scalar. -
exponent : ndarray
-
Integer exponents of 2. This is a scalar if
x
is a scalar.
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.])
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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.16.1/reference/generated/numpy.frexp.html