Log functions in Python

Python provides several built-in logarithmic functions through the math module for calculating logarithms with different bases and applications. Lets see a example:

Natural logarithm of 14 is : 2.6390573296152584
Logarithm base 5 of 14 is : 1.6397385131955606

log(a,(Base)) function returns the natural logarithm (base e) of a. If a second argument is provided, it returns the logarithm of a with respect to the specified base.

Syntax:

math.log(a,Base)

Parameters:

• a: The numeric value
• Base: Base to which the logarithm has to be computed.

Return Value: Returns natural log if 1 argument is passed and log with specified base if 2 arguments are passed.

Exceptions: Raises ValueError if a negative number is passed as argument.

log2(a)

Logarithm base 2 of 14 is : 3.807354922057604

This function is used to compute the logarithm base 2 of a. Displays more accurate result than log(a,2).

Syntax:

math.log2(a)

Parameters:

• a: The numeric value

Return Value: Returns logarithm base 2 of a

Exceptions: Raises ValueError if a negative number is passed as argument.

log10(a)

Logarithm base 10 of 14 is : 1.146128035678238

This function is used to compute the logarithm base 10 of a. Displays more accurate result than log(a,10). One of its application is that it is used to compute the number of digits of a number.

Syntax:

math.log10(a)

Parameters:

• a: The numeric value

Return Value: Returns logarithm base 10 of a

Exceptions: Raises ValueError if a negative number is passed as argument.

log1p(a)

Logarithm(1+a) value of 14 is : 2.70805020110221

math.log1p(a) computes log(1 + a) accurately, especially when a is very close to zero.

Syntax:

math.log1p(a)

Parameters:

• a: The numeric value

Return Value: Returns log(1+a)

Exceptions: Raises ValueError if the argument is less than or equal to -1.