Python numpy log10 explanation with example

Example of python numpy log10:

Numpy log10 function is used to find the base 10 logarithmic value of a given number. This method is defined as below :

numpy.log10(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'log10'>

Here,

  • arr: array_like input
  • out: Optional value. It is the place where the result will be copied. If it is not provided, it returns one new value.
  • where: array_like, optional value. For True, the result array will be set to the ufunc result. For False, it will be uninitialized.
  • **kwargs: Used for keyword only arguments.

It returns one ndarray, log 10 of all elements, NaN is returned for negative values.

Example program:

import numpy as np

given_array = [1, 10, 100, 10*100, 22**10]

result_array = np.log10(given_array)

print(given_array)
print(result_array)

Output:

[1, 10, 100, 1000, 26559922791424]
[ 0.          1.          2.          3.         13.42422681]

Example program 2:

import numpy as np

print(np.log10(10**10))
print(np.log10(1))
print(np.log10(10))

Output:

10.0
0.0
1.0

!(official numpy doc)[https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10]

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