**Python** is a high-level programming language that provides functionalities for a number of operations. The `math` module comes with mathematical methods and constraints, which make for straightforward calculations. **`math.erf()`** is used to print error functions for numbers. Error functions are used widely in statistical computations, machine learning, and a number of theoretical applications. It is defined as the integral of the normal distribution. There are a number of rules attached to this function:

1. math.erf (-∞) = -1
2. math.erf (+∞) = 1
3. math.erf (-x) = -math.erf(x)
4. math.erf (x*) = [math.erf (x)]*

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## Syntax

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## Parameters
* `x`: The specified number of which to find the error function. Any positive or negative number is accepted. This parameter is required.

## Return value
This method returns the error function of the specified number in the form of a `float` value between -1 and +1.

## Code

#import library
import math

#display error functions for different values
print('Error function of 34 ==>',math.erf(34))
print('Error function of -10 ==>',math.erf(-10))
print('Error function of -0.98 ==>',math.erf(-0.98))
print('Error function of 5 ==>',math.erf(5))
print('Error function of 28.67 ==>',math.erf(28.67))
print('Error function of 100 ==>',math.erf(100))
print('Error function of -100 ==>',math.erf(-100))

What is math.erf() in Python?

math.erf() calculates the error function, integral to statistical and machine learning applications. It returns a float between -1 and +1.