numpy.frexp
- numpy. frexp ( x, [ out1, out2, ] /, [ out=(None, None), ] *, where=True, casting='same_kind', order='K', dtype=None, subok=True [, signature, extobj ] ) = <ufunc 'frexp'>
-
Decompose the elements of x into mantissa and twos exponent.
Returns (
mantissa
,exponent
), wherex = mantissa * 2**exponent`
. The mantissa 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
-
This condition is broadcast over the input. At locations where the condition is True, the
out
array will be set to the ufunc result. Elsewhere, theout
array will retain its original value. Note that if an uninitializedout
array is created via the defaultout=None
, locations within it where the condition is False will remain uninitialized. - **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.])
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.22/reference/generated/numpy.frexp.html