Skip to content
Related Articles

Related Articles

Python Numerize Library
  • Last Updated : 27 Feb, 2020

Numerize is that library of python which is used to show large numbers into its readable format. It basically converts numerical format into the compact short format. There is no need to show how many zeroes are behind the number. It itself checks the numeric digits behind the coefficient and then provides output in the compact short form accordingly.

Key Feature

It enhances the understanding as there is no need to write a number of zeroes behind the number coefficient(also called as trailing zeroes).

Examples:

1 -> 1
10 -> 10
100 -> 100
1000 -> 1k
1500 -> 1.5k
1000000 -> 1M
1000000000 -> 1B
1000000000000 -> 1T

Note:

  • Here k represents thousand (i.e. coefficient will have 3 trailing digits ), M represents Million (i.e. coefficient will have 6 trailing digits), B represents Billion (i.e. coefficient will have 9 trailing digits)and T represents Trillion (i.e. coefficient will have 12 trailing digits).
  • It will convert numerical numbers only up to 100T.

Installing Library

To install this module type tehe below command in the terminal.



pip install numerize 

Example 1:




from numerize import numerize 
  
a = numerize.numerize(100)
print(a)
  
a = numerize.numerize(1000)
print(a)
  
a = numerize.numerize(1500)
print(a)
  
a = numerize.numerize(1000000)
print(a)
  
a = numerize.numerize(1123456)
print(a)
  
a = numerize.numerize(10000000000)
print(a)

Output:

100
1k
1.5k
1M
1.12M
10B

Example 2:




from numerize import numerize 
  
  
# Here we can also get number upto 
# any decimal place
a = numerize.numerize(1234567.12, 2)
print(a)
  
a = numerize.numerize(1247854, 4)
print(a)
  
a = numerize.numerize(12134.123, 3)
print(a)

Output:

1.23M
1.2479M
12.134K

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :