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Pandas Pivot Table: Exercises, Practice, Solution

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Table of Contain

Pandas Pivot Table [13 exercises with solution]

[ The purpose of the following exercises to show various tasks of a pivot table. We have executed Python code in Jupyter QtConsole and used Salesdata.xlsx as reference data. To get Jupyter QtConsole download Anaconda from here.

A pivot table is a table of statistics that summarizes the data of a more extensive table (such as from a database, spreadsheet, or business intelligence program). This summary might include sums, averages, or other statistics, which the pivot table groups together in a meaningful way.

1. Write a Pandas program to create a Pivot table with multiple indexes from a given excel sheet (Salesdata.xlsx). Go to Excel data
Click me to see the sample solution

2. Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise. Go to Excel data
Click me to see the sample solution

3. Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise, sales man wise. Go to Excel data
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4. Write a Pandas program to create a Pivot table and find the item wise unit sold. Go to Excel data
Click me to see the sample solution

5. Write a Pandas program to create a Pivot table and find the region wise total sale. Go to Excel data
Click me to see the sample solution

6. Write a Pandas program to create a Pivot table and find the region wise, item wise unit sold. Go to Excel data
Click me to see the sample solution

7. 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
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8. 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. Go to Excel data
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9. 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
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10. Write a Pandas program to create a Pivot table and find the region wise Television and Home Theater sold. Go to Excel data
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11. Write a Pandas program to create a Pivot table and find the maximum sale value of the items. Go to Excel data
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12. Write a Pandas program to create a Pivot table and find the minimum sale value of the items. Go to Excel data
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13.Write a Pandas program to create a Pivot table and find the maximum and minimum sale value of the items. Go to Excel data
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Pandas Pivot on Titanic Passengers csv [19 exercises with solution]

1. Write a Pandas program to print a concise summary of the dataset (titanic.csv). Go to Editor
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2. Write a Pandas program to extract the column labels, shape and data types of the dataset (titanic.csv). Go to Editor
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3. Write a Pandas program to create a Pivot table with multiple indexes from the data set of titanic.csv. Go to Editor
Click me to see the sample solution

4. Write a Pandas program to create a Pivot table and find survival rate by gender on various classes. Go to Editor
Click me to see the sample solution

5. Write a Pandas program to create a Pivot table and find survival rate by gender. Go to Editor
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6. Write a Pandas program to create a Pivot table and find survival rate by gender, age wise of various classes. Go to Editor
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7. Write a Pandas program to partition each of the passengers into four categories based on their age. Go to Editor
Note: Age categories (0, 10), (10, 30), (30, 60), (60, 80)
Click me to see the sample solution

8. Write a Pandas program to create a Pivot table and count survival by gender, categories wise age of various classes. Go to Editor
Note: Age categories (0, 10), (10, 30), (30, 60), (60, 80)
Click me to see the sample solution

9. Write a Pandas program to create a Pivot table and find survival rate by gender, age of the different categories of various classes. Go to Editor
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10. Write a Pandas program to create a Pivot table and find survival rate by gender, age of the different categories of various classes. Add the fare as a dimension of columns and partition fare column into 2 categories based on the values present in fare columns. Go to Editor
Click me to see the sample solution

11. Write a Pandas program to create a Pivot table and calculate number of women and men were in a particular cabin class. Go to Editor
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12. Write a Pandas program to create a Pivot table and find survival of both gender and class affected. Go to Editor
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13. Write a Pandas program to create a Pivot table and compute survival totals of all classes along each group. Go to Editor
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14. Write a Pandas program to create a Pivot table and calculate how many women and men were in a particular cabin class. Go to Editor
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15. Write a Pandas program to create a Pivot table and find number of survivors and average rate grouped by gender and class. Go to Editor
Click me to see the sample solution

16. Write a Pandas program to create a Pivot table and find number of adult male, adult female and children. Go to Editor
Click me to see the sample solution

17. Write a Pandas program to create a Pivot table and check missing values of children. Go to Editor
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18. Write a Pandas program to create a Pivot table and separate the gender according to whether they traveled alone or not to get the probability of survival. Go to Editor
Click me to see the sample solution

19. Write a Pandas program to create a Pivot table and find the probability of survival by class, gender, solo boarding and port of embarkation. Go to Editor
Click me to see the sample solution

Salesdata.xlsx:


Download (Salesdata.xlsx) from here

Titanic.csv:


Source: OpenDataSoft

Download (Titanic.csv) from here

Python Code Editor:


More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.

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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