**π‘ Problem Formulation:** When working with numerical data in Python, a common requirement is to truncate numbers to remove the fractional parts without rounding. This article explores various methods to perform truncation in Python. For instance, converting the input `123.456`

to `123`

is a typical truncation task.

## Method 1: Using the `math.trunc()`

Function

This method involves the `math.trunc()`

function from Python’s `math`

module, which explicitly truncates the decimal part of a number and returns the integer value. It is a straightforward and mathematically clear approach to truncation.

Here’s an example:

import math number = 123.456 truncated_number = math.trunc(number) print(truncated_number)

Output: `123`

This code snippet imports the `math`

module, then uses the `math.trunc()`

function to truncate the number `123.456`

and prints the result, which is the integer `123`

.

## Method 2: Truncation Using Integer Typecasting

Another common way to truncate a floating-point number in Python is to typecast it to an integer using the built-in `int()`

function. This is a simple and quick method for removing the decimal part.

Here’s an example:

number = 123.456 truncated_number = int(number) print(truncated_number)

Output: `123`

In this code, `int()`

is used to cast the float `123.456`

to an integer, which naturally truncates the decimal part, resulting in `123`

being printed.

## Method 3: Truncation with String Manipulation

This unique method involves converting the number to a string and splitting it at the decimal point to truncate it. Then, the integer part before the decimal is converted back to an integer. This method is a bit more roundabout but can be useful in specific contexts.

Here’s an example:

number = 123.456 truncated_number = int(str(number).split('.')[0]) print(truncated_number)

Output: `123`

The code converts the number to a string, splits it into a list at the point where the decimal occurs, takes the first element of that list (the part before the decimal point), and converts it back to an integer.

## Method 4: Using the `floor()`

Function for Non-Negative Numbers

For non-negative numbers, you can use the `floor()`

function from the `math`

module to truncate a float. The `floor()`

function takes a float and returns the largest integer less than or equal to the float.

Here’s an example:

import math number = 123.456 truncated_number = math.floor(number) print(truncated_number)

Output: `123`

This snippet uses `math.floor()`

to get the nearest integer less than or equal to `123.456`

. It’s important to note that `floor()`

behaves like truncation for non-negative numbers but not for negative numbers.

## Bonus One-Liner Method 5: Truncate with Lambda Function

For a more flexible and inline approach, a lambda function can be defined to truncate a number using the previously mentioned integer typecast. This single-line method can be especially convenient when you need a small, anonymous function for truncating on-the-go.

Here’s an example:

truncate = lambda x: int(x) print(truncate(123.456))

Output: `123`

This one-liner creates a lambda function that takes a number `x`

and casts it to an integer, thereby truncating it. The function is then immediately used to truncate `123.456`

.

## Summary/Discussion

**Method 1:**`math.trunc()`

. Direct and mathematically explicit. Not the most concise.**Method 2:**Integer Typecasting. Extremely simple and concise. Implicit rather than explicit truncation.**Method 3:**String Manipulation. Versatile and hackable. Indirect and less performant.**Method 4:**`math.floor()`

. Accurate for non-negative numbers. Misleading when used with negatives.**Bonus Method 5:**Lambda Function. Quick and inline. Can be less readable to those unfamiliar with lambda functions.