Pandas Pivot Table: Create a Pivot table and find the region wise, item wise unit sold

Last update on April 04 2025 13:40:52 (UTC/GMT +8 hours)

6. Region and Item-Wise Units Sold

Write a Pandas program to create a Pivot table and find the region wise, item wise unit sold. Go to Excel data

Sample Solution:

Python Code :

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

Sample Output:

                      Units
Region  Item               
Central Cell Phone     27.0
        Desk            7.0
        Home Theater  424.0
        Television    498.0
        Video Games   243.0
East    Cell Phone    175.0
        Home Theater  234.0
        Television    130.0
        Video Games   152.0
West    Cell Phone     76.0
        Desk            3.0
        Home Theater   64.0
        Television     88.0                                    

Pivot Table:

Salesdata.xlsx:

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a pivot table with region and item as indexes and compute the total units sold.
• Write a Pandas program to generate a pivot table that aggregates unit sales by region and item, then sort by region.
• Write a Pandas program to build a pivot table from Salesdata.xlsx that groups by region and item to sum the units sold.
• Write a Pandas program to create a pivot table that displays item-wise unit sales for each region and then filter for regions with high unit sales.

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to create a Pivot table and find the region wise total sale.
Next: Write a Pandas program to create a Pivot table and count the manager wise sale and mean value of sale amount.