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

Pandas: Pivot Table Exercise-6 with Solution

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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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m