NumPy - exp() function
The NumPy exp() function is used to calculate e raised to the power of given value, i.e., ex. Please note that e is the base of the natural system of logarithms, and its value is approximately 2.718282.
Syntax
numpy.exp(a, out=None)
Parameters
a |
Required. Specify array (array_like) containing elements, of which the exponential is calculated. |
out |
Optional. Specify 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. |
Return Value
Returns the exponential of each element of a.
Example:
In the example below, numpy exp() function is used to calculate the exponential of each element present in array Arr.
import numpy as np
Arr = np.array([0, 1, 2, 3])
print("The exponential of values:")
print(np.exp(Arr))
The output of the above code will be:
The exponential of values: [ 1. 2.71828183 7.3890561 20.08553692]
❮ NumPy - Functions
