Pandas Pivot Table: Create a Pivot table and find manager wise, salesman wise total sale and also display the sum of all sale amount at the bottom

Last update on December 21 2024 07:52:21 (UTC/GMT +8 hours)

Write a Pandas program to create a Pivot table and find manager wise, salesman wise total sale and also display the sum of all sale amount at the bottom. Go to Excel data

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_excel('E:\SaleData.xlsx')
table = pd.pivot_table(df,index=["Manager","SalesMan"],values=["Units","Sale_amt"],
               aggfunc=[np.sum],fill_value=0,margins=True)
print(table)

Sample Output:

                         sum      
                    Sale_amt Units
Manager SalesMan                  
Douglas John        124016.0   156
        Karen        48204.0   170
        Michael      66836.0    89
Hermann Luis        206373.0   281
        Shelli       33698.0   193
        Sigal       125037.5   173
Martha  Alexander   236703.0   396
        Diana        36100.0   125
        Steven      199690.0   183
Timothy David       140955.0   213
        Stephen      88063.0   142
All                1305675.5  2121	                                       

Pivot Table:

Salesdata.xlsx:

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