NumPy exp2()

The numpy.exp2() function calculates 2 raised to the power of each element in an input array.

</>

Copy

numpy.exp2(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True)

Parameter	Type	Description
`x`	array_like	Input values. Each element will be used as an exponent to base 2.
`out`	ndarray, None, or tuple of ndarray and None, optional	Optional output array where the result is stored. If None, a new array is created.
`where`	array_like, optional	Boolean mask specifying which elements to compute. Elements where `where=False` retain their original value.
`casting`	str, optional	Defines the casting behavior when computing the power function.
`order`	str, optional	Memory layout order of the output array.
`dtype`	data-type, optional	Defines the data type of the output array.
`subok`	bool, optional	Determines if subclasses of ndarray are preserved in the output.

Returns an array with values of \(2^x\) computed element-wise. If the input is a scalar, a scalar is returned.

Examples

Here, we compute \(2^x\) for a single value.

</>

Copy

import numpy as np

# Define an exponent value
x = 3

# Compute 2^x
result = np.exp2(x)

# Print the result
print("2^3 =", result)

2^3 = 8.0