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PythonHow-ToBeginner · 3 min read

How to Round to n Decimal Places in Python Easily

In Python, you can round a number to n decimal places using the built-in round() function by passing the number and n as arguments, like round(number, n). This returns the number rounded to the specified decimal places as a float.
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Syntax

The round() function takes two arguments:

  • number: The float or integer you want to round.
  • ndigits: The number of decimal places to round to (an integer or None).

It returns the rounded number as a float if ndigits is specified, or an integer if ndigits is None.

python
rounded_value = round(number, ndigits)
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Example

This example shows how to round a float to 2 decimal places using round(). It prints the original and rounded values.

python
number = 3.14159
rounded_number = round(number, 2)
print("Original number:", number)
print("Rounded to 2 decimal places:", rounded_number)
Output
Original number: 3.14159 Rounded to 2 decimal places: 3.14
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Common Pitfalls

One common mistake is expecting round() to always return a string or to format the number visually. It returns a float, which may still display more decimals depending on printing.

Also, due to how floating-point numbers work, some results may look unexpected (like rounding 2.675 to 2 decimals gives 2.67).

python
print(round(2.675, 2))  # Outputs 2.67, not 2.68

# To format as string with fixed decimals use format or f-string:
print(f"{2.675:.2f}")  # Outputs '2.68'
Output
2.67 2.68
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Quick Reference

Summary tips for rounding in Python:

  • Use round(number, n) to round to n decimals.
  • Result is a float, not a formatted string.
  • For display, use format() or f-strings like f"{number:.2f}".
  • Floating-point rounding can have small precision quirks.

Key Takeaways

Use round(number, n) to round to n decimal places in Python.
round() returns a float, not a formatted string.
For consistent display, format numbers with f-strings or format().
Floating-point arithmetic can cause small rounding surprises.
Always test rounding results when precision matters.