numpy.exp2¶
-
numpy.
exp2
(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'exp2'>¶ Calculate 2**p for all p in the input array.
Parameters: - x : array_like
Input values.
- 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: - out : ndarray or scalar
Element-wise 2 to the power x. This is a scalar if x is a scalar.
See also
Notes
New in version 1.3.0.
Examples
>>> np.exp2([2, 3]) array([ 4., 8.])