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Pandas Pivot Table: Create a Pivot table and count the manager wise sale and mean value of sale amount

Pandas: Pivot Table Exercise-7 with Solution

Write a Pandas program to create a Pivot table and count the manager wise sale and mean value of sale amount. Go to Excel data

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_excel('E:\SaleData.xlsx')
print(pd.pivot_table(df,index=["Manager"],values=["Sale_amt"],aggfunc=[np.mean,len]))

Sample Output:

                 mean      len
             Sale_amt Sale_amt
Manager                       
Douglas  29882.000000      8.0
Hermann  30425.708333     12.0
Martha   33749.500000     14.0
Timothy  25446.444444      9.0

Pivot Table:

Salesdata.xlsx:


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Next: Write a Pandas program to create a Pivot table and find manager wise, salesman wise total sale and also display the sum of all sale amount at the bottom.

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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