In the field of programming, accuracy is critical. Rounding numbers to the nearest integer may be necessary for scientific computations, financial data, or basic arithmetic. Python is a flexible and approachable language that offers numerous options for accomplishing this. This article will go over the fundamentals of round down in Python, so you’ll be prepared to handle your data accurately.
What is Round Down?
Before we get started with the code, let’s define rounding and rounding down. We round up or down a number based on how much of it is a fraction. We round up if the fractional part equals or exceeds 0.5, and down otherwise.
On the other hand, regardless of the fractional portion of the number, rounding down always rounds it down to the nearest whole number. As an illustration:
- Because the fractional part is less than 0.5, rounding 4.3 results in 4.
- Reducing 4.3 to 4 (not including the fractional portion)
Now that we are clear on the idea, let’s explore the various Python methods for rounding down numbers.
Round Down in Python via math.floor() Function
The math module also includes the floor() method. The closest integer that is less than or equal to a given number is returned by this method.
Code:
# Round down using floor() method
# I’ve directly imported floor() method from math module
from math import floor
number = 5
print(number, ” round down to: “, floor(number))
number = 7.9
print(number, ” round down to: “, floor(number))
number = -0.6
print(number, ” round down to: “, floor(number))
Output:
5 rounds down to: 5
7.9 round down to 7
-0.6 round down to -1
Round Down in Python via string format
When you simply want to display the entire number before the decimal point without changing the value, this method works well. This method does not round down the value; it only shows the entire number.
code:
def round down(n):
return int(“{:.0f}”.format(n))
roundedValue = roundDown(2.5)
print(“The rounded value of {} is: {}”.format(2.5, roundedValue))
print(“Data type of the rounded Value: “, type(roundedValue))
Output:
The rounded value of 2.5 is: 2
Data type of the rounded Value: <class ‘int’>
Round Down a Number in Python via the// operator
The math. floor() method is similar to Python’s floor division operator, also known as the integer division operator. The first number is divided by the second, and the result is rounded to the next lower integer. You can always use the floor() method to compare how similar it is.
code:
# Round Down using the floor division operator
number = 2.586
print(number // 1) #Dividing it with 1 to get the whole number
Output:
2.0
Round Down a Number in Python via the int() method
The fractional values are ended by the int() method, which returns a whole number. The data type of the given number is changed to an integer using this method.
Code:
# Round down number using int() method
number = 10.5
print(int(number))
number = -4.6
print(int(number))
Output:
10
-4
Round Down a Number in Python via trunc() method
The math module comes with a built-in function called truncate, or trunc(). The integer portion of a given decimal number is returned by this method. As the name suggests, trunc() reduces the value instead of rounding it up. There are situations when “Round Down in Python” works better when the number is truncated.
Code:
# Round down number using trunc() method
# I’ve directly imported the trunc() method from math module
from math import trunc
number = 5.25
print(trunc(number))
number = 7.89
print(trunc(number))
Uncertain about the direct import? You can always attempt the code that follows:-
import math
number = 5.25
print(math.trunc(number))
number = 7.89
print(math.trunc(number))
Output:
5
7
Conclusion
Precise data handling is ensured by Round Down in Python, particularly when rounding down. Many techniques provide flexibility to efficiently manage computations, such as math.floor(), string formatting, int() casting, and truncation (using math.trunc() or // operator). Acquiring these fundamentals improves Python’s usefulness for financial and scientific tasks while maintaining data integrity.
