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

Last update on December 21 2024 07:52:20 (UTC/GMT +8 hours)

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:

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