- nlcpy.exp2 = <ufunc 'nlcpy_exp2'>
Computes 2**x for all elements in the array.
Input an array or a scalar.
- outndarray or 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.
- wherearray_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, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the section Optional Keyword Arguments.
A ndarray, containing 2**x. If x is a scalar, this function returns the result as a 0-dimension ndarray.
Computes the element-wise exponentiation of the inputs.
dtype is a complex dtype : TypeError occurs.
>>> import nlcpy as vp >>> vp.exp2([2, 3]) array([4., 8.])