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

Last update on April 04 2025 13:40:51 (UTC/GMT +8 hours)

9. Filtered Pivot Table for Manager "Douglas"

Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise, sales man wise where Manager = "Douglas". 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","Manager","SalesMan"], values="Sale_amt")
print(table.query('Manager == ["Douglas"]'))

Sample Output:

                              Sale_amt
Region  Manager SalesMan              
Central Douglas John      41338.666667
East    Douglas Karen     16068.000000
West    Douglas Michael   33418.000000	                                       

Pivot Table:

Salesdata.xlsx:

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a pivot table that calculates total sale amount by region, manager, and salesman, filtering for Manager = "Douglas".
• Write a Pandas program to generate a pivot table and then use boolean indexing to display data where the manager is "Douglas".
• Write a Pandas program to build a pivot table from Salesdata.xlsx and then extract the sub-table corresponding to Manager "Douglas".
• Write a Pandas program to create a pivot table that includes a filter condition to show only records for Manager "Douglas" and summarize sale totals.

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