Skip to content
Related Articles

Related Articles

Improve Article
Cumulative percentage of a column in Pandas – Python
  • Last Updated : 15 Mar, 2021

Cumulative Percentage is calculated by the mathematical formula of dividing the cumulative sum of the column by the mathematical sum of all the values and then multiplying the result by 100. This is also applicable in Pandas Data frames.
Here, the pre-defined cumsum() and sum() functions are used to compute the cumulative sum and sum of all the values of a column.
Syntax: 

df[cum_percent] = 100 * (df[‘column_name’].cumsum()/df[‘column_name’].sum()) 
 

Example 1:

Python3




import pandas as pd
import numpy as np
  
# Create a DataFrame
df1 = {
     'Name':['abc','bcd','cde','def','efg','fgh','ghi'],
   'Math_score':[52,87,49,74,28,59,48]}
  
df1 = pd.DataFrame(df1, columns=['Name','Math_score'])
 
# Computing Cumulative Percentage
df1['cum_percent'] = 100*(df1.Math_score.cumsum() / df1.Math_score.sum())
 
df1

 



 

Output: 
 

 

 

 

 

Example 2: 

 

Python3




import pandas as pd
import numpy as np
  
# Create a DataFrame
df1 = {
     'Name':['abc','bcd','cde','def','efg','fgh','ghi'],
   'Math_score':[52,87,49,74,28,59,48],
  'Eng_score':[34,67,25,89,92,45,86]
}
  
df1 = pd.DataFrame(df1,columns=['Name','Math_score','Eng_score'])
 
# Computing cumulative Percentage
df1['Eng_cum_percent'] = (df1.Eng_score.cumsum() / df1.Eng_score.sum()) * 100
 
df1

 

 

Output: 
 

 

 

 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 :