NumPy - log() function
The NumPy log() function is used to calculate the natural logarithm (base e) of a given value.
Syntax
numpy.log(x, out=None)
Parameters
x |
Required. Specify array (array_like) containing elements, of which the natural logarithm 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 natural logarithm of each element of x.
Example:
In the example below, numpy log() function is used to calculate the natural logarithm of each element present in array Arr.
import numpy as np
Arr = np.array([1, 2, 3, 4])
print("The natural logarithm of values:")
print(np.log(Arr))
The output of the above code will be:
The natural logarithm of values: [ 0. 0.69314718 1.09861229 1.38629436]
❮ NumPy - Functions
