Rounding Floating Point Numbers to Two Decimal Places in Python

In Python, floating point numbers can sometimes produce unexpected results due to their internal representation. This is because computers store floating point numbers as binary fractions, which cannot always accurately represent decimal fractions. In this tutorial, we will explore how to round floating point numbers to two decimal places in Python.

Understanding Floating Point Numbers

Before diving into the solution, it’s essential to understand why floating point numbers can be problematic. The issue lies in their internal representation. Computers use binary to store numbers, which means they represent fractions as a sum of powers of 2. However, some decimal fractions cannot be represented exactly as a finite sum of powers of 2.

For example, the decimal fraction 0.1 is represented in binary as an infinite series: 0.00011001100110011… . This means that when you perform arithmetic operations on floating point numbers, small rounding errors can occur.

Rounding Floating Point Numbers

To round a floating point number to two decimal places, you can use the round() function or string formatting methods.

Using the round() Function

The round() function takes two arguments: the number to be rounded and the number of decimal places. However, due to the internal representation of floating point numbers, using round() alone may not always produce the desired result:

a = 13.949999999999999
print(round(a, 2))  # Output: 13.95 (but internally it's still 13.949999999999999)

To get the desired output as a string, you can use string formatting methods.

Using String Formatting Methods

There are several ways to format strings in Python. Here are a few examples:

  • Using the % operator:

a = 13.949999999999999
print("%.2f" % a) # Output: 13.95

*   Using the `format()` function:
    ```python
a = 13.949999999999999
print("{:.2f}".format(a))  # Output: 13.95
  • Using f-strings (Python 3.6+):

a = 13.949999999999999
print(f"{a:.2f}") # Output: 13.95


### Best Practices

When working with financial or monetary data, it's often better to use integers to represent the number of cents rather than floating point numbers to represent dollars. This approach avoids the issues associated with floating point arithmetic.

Alternatively, you can use the `decimal` module, which provides support for fast correctly rounded decimal floating point arithmetic:
```python
from decimal import Decimal

a = Decimal('13.95')
print(a)  # Output: 13.95

In conclusion, rounding floating point numbers to two decimal places in Python requires careful consideration of the internal representation of these numbers. By using string formatting methods or the decimal module, you can ensure accurate and reliable results.

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