Pandas Pivot Table: Create a Pivot table and find the region wise Television and Home Theater sold

Last update on May 03 2025 12:59:47 (UTC/GMT +8 hours)

10. Region-Wise Television and Home Theater Sold

Write a Pandas program to create a Pivot table and find the region wise Television and Home Theater sold. Go to Excel data

Sample Solution:

Python Code :


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

Sample Output:

                          Units
Region  Item                   
Central Home Theater  53.000000
        Television    55.333333
East    Home Theater  46.800000
        Television    65.000000
West    Home Theater  32.000000
        Television    44.000000

Pivot Table:

Salesdata.xlsx:

For more Practice: Solve these Related Problems:

Write a Pandas program to create a pivot table that aggregates units sold for Television and Home Theater by region.
Write a Pandas program to generate a pivot table from Salesdata.xlsx that filters data for Television and Home Theater items and sums their sales region-wise.
Write a Pandas program to build a pivot table that groups by region and item, then display only the rows corresponding to Television and Home Theater.
Write a Pandas program to create a pivot table to compare the sale of Television and Home Theater across different regions.

Go to:

Previous: Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise, sales man wise.
Next: Write a Pandas program to create a Pivot table and find the maximum sale value of the items.

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