Rounding vs. Formatting: Maintaining Precision When Working with Floats in Python
There are two main ways to limit floats to two decimal places in Python:

Formatting: You can use string formatting methods to control how a float is displayed without changing its underlying value. There are two common ways to do this:
 fstrings: Fstrings (introduced in Python 3.6) allow you to embed expressions directly into strings. You can use the format specifier
:.2f
to format a float with two decimal places.  format() method: The
format()
method is another way to format strings. You can use a format string like "{number:.2f}" to achieve the same result as fstrings.
 fstrings: Fstrings (introduced in Python 3.6) allow you to embed expressions directly into strings. You can use the format specifier
Here's an example that demonstrates both rounding and formatting:
number = 3.14159
# Rounding: modifies the original value
rounded_number = round(number, 2)
print("Rounded number:", rounded_number) # Output: Rounded number: 3.14
# Formatting: doesn't modify the original value
formatted_number = f"{number:.2f}"
print("Formatted number:", formatted_number) # Output: Formatted number: 3.14
Which method you choose depends on your specific needs. If you need to perform calculations with the limited value, then rounding is the way to go. But if you just want to control the display of the float, then formatting is preferable because it preserves the original value.
Rounding:
number = 3.14159
# Round to two decimal places
rounded_number = round(number, 2)
print("Rounded number:", rounded_number)
Formatting:
number = 3.14159
# Using fstrings (Python 3.6+)
formatted_number_fstring = f"{number:.2f}"
# Using format method
formatted_number_format = "{number:.2f}".format(number=number)
print("Formatted number (fstring):", formatted_number_fstring)
print("Formatted number (format method):", formatted_number_format)
Both approaches will display the number with two decimal places, but the rounded number will have a slightly modified value for calculations, while the formatted number keeps the original value intact.
 Using the decimal module:
The decimal
module provides an alternative to floatingpoint numbers for scenarios where precise decimal representation is crucial. It stores numbers with a fixed number of decimal places and performs exact arithmetic operations. Here's an example:
from decimal import Decimal
number = Decimal('3.14159')
limited_number = number.quantize(Decimal('0.01')) # Round to two decimal places
print("Limited number:", limited_number)
This approach offers more control over decimal precision but can be slightly slower than using floats.
 String manipulation (not recommended):
Technically, you can convert the float to a string, manipulate the string to keep only the desired number of decimal places, and then convert it back to a float. However, this is generally not recommended because:
 It can lead to unexpected behavior if the string representation of the float isn't exact (which can happen with some floatingpoint numbers).
 It's less efficient than the other methods.
Here's an example (for demonstration purposes only):
number = 3.14159
string_number = str(number)
limited_string = string_number[:string_number.find('.') + 3] # Keep up to two decimals
limited_number = float(limited_string)
print("Limited number (string manipulation):", limited_number)
Remember, using rounding, formatting, or the decimal
module is generally preferred for limiting floats in Python.
python floatingpoint rounding