Python:NumPy .log()

The .log() function returns an element-wise natural logarithm of an array.

Syntax

numpy.log(array)

.log() returns an ndarray with each element as the natural logarithm of the corresponding element in array.

Example

The following example creates a ndarray and applies .log() to it:

import numpy as np

nd = np.array([[1,2.71828],[2.71828,1]])

print(nd)
print(np.log(nd))

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This produces the following output:

[[1.      2.71828]
 [2.71828 1.     ]]

 [[0.         0.99999933]
 [0.99999933 0.        ]]

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Codebyte Example

The following codebyte creates different arrays and demonstrates applying np.log() to each array, calculating the natural logarithm of all elements:

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