Pandas Pivot Table: Create a Pivot table and find the total sale amount region wise, manager wise

Last update on April 04 2025 13:42:14 (UTC/GMT +8 hours)

2. Region-Wise and Manager-Wise Total Sale Amount

Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise. Go to Excel data

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_excel('E:\SaleData.xlsx')
print(pd.pivot_table(df,index = ["Region","Manager"], values = ["Sale_amt"],aggfunc=np.sum))

Sample Output:

                 Sale_amt
Region  Manager          
Central Douglas  124016.0
        Hermann  365108.5
        Martha   199690.0
        Timothy  140955.0
East    Douglas   48204.0
        Martha   272803.0
West    Douglas   66836.0
        Timothy   88063.0                                     

Pivot Table:

Salesdata.xlsx:

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a pivot table that aggregates the total sale amount by region and manager.
• Write a Pandas program to generate a pivot table summarizing total sales, grouping by region and manager, and then display the results.
• Write a Pandas program to build a pivot table from Salesdata.xlsx that calculates the sum of sale amounts for each combination of region and manager.
• Write a Pandas program to create a pivot table with region and manager as indexes and sum the sale amounts, then sort the output by region.

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