Skip to content
Related Articles

Related Articles

Cumulative sum of a column in Pandas – Python
  • Last Updated : 26 Jul, 2020

Cumulative sum of a column in Pandas can be easily calculated with the use of a pre-defined function cumsum()
 

Syntax:  cumsum(axis=None, skipna=True, *args, **kwargs)
Parameters: 
axis: {index (0), columns (1)} 
skipna: Exclude NA/null values. If an entire row/column is NA, the result will be NA
Returns: Cumulative sum of the column

Example 1: 
 

Python3




import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[2, 3, 8, 14], 
                   "B":[1, 2, 4, 3], 
                   "C":[5, 3, 9,2]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 0))

Output: 
 



    A   B   C
0   2   1   5
1   5   3   8
2  13   7  17
3  27  10  19

Example 2: 
 

Python3




import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[None, 3, 8, 14], 
                   "B":[1, None, 4, 3], 
                   "C":[5, 3, 9,None]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 0, skipna = True))

Output: 
 

      A    B     C
0   NaN  1.0   5.0
1   3.0  NaN   8.0
2  11.0  5.0  17.0
3  25.0  8.0   NaN

Example 3: 
 

Python3




import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[2, 3, 8, 14], 
                   "B":[1, 2, 4, 3], 
                   "C":[5, 3, 9,2]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 1))

Output: 
 

    A   B   C
0   2   3   8
1   3   5   8
2   8  12  21
3  14  17  19

 

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.

My Personal Notes arrow_drop_up
Recommended Articles
Page :