Pandas Pivot Table: Exercises, Practice, Solution
This resource offers a total of 160 problems including ( Pandas Pivot Table and Pandas on Titanic Passengers csv ) for practice. It includes 32 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
[An Editor is available at the bottom of the page to write and execute the scripts.]
Table of Contain
[ 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.
Go to Excel data1. Pivot Table with Multiple Indexes
Write a Pandas program to create a Pivot table with multiple indexes from a given excel sheet (Salesdata.xlsx).
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2. Region-Wise and Manager-Wise Total Sale Amount
Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise.
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3. Region, Manager, and Salesman-Wise Total Sale Amount
Write a Pandas program to create a Pivot table and find the total sale amount region wise, manager wise, sales man wise.
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4. Item-Wise Units Sold
Write a Pandas program to create a Pivot table and find the item wise unit sold.
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5. Region-Wise Total Sale
Write a Pandas program to create a Pivot table and find the region wise total sale.
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6. Region and Item-Wise Units Sold
Write a Pandas program to create a Pivot table and find the region wise, item wise unit sold.
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7. Manager-Wise Sale Count and Mean Sale Amount
Write a Pandas program to create a Pivot table and count the manager wise sale and mean value of sale amount.
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8. Manager and Salesman-Wise Total Sale with Grand Total
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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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".
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10. Region-Wise Television and Home Theater Sold
Write a Pandas program to create a Pivot table and find the region wise Television and Home Theater sold.
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11. Maximum Sale Value of Items
Write a Pandas program to create a Pivot table and find the maximum sale value of the items.
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12. Minimum Sale Value of Items
Write a Pandas program to create a Pivot table and find the minimum sale value of the items.
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13. Maximum and Minimum Sale Value of Items
Write a Pandas program to create a Pivot table and find the maximum and minimum sale value of the items.
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Pandas Pivot on Titanic Passengers csv
1. Concise Summary of Titanic Dataset
Write a Pandas program to print a concise summary of the dataset (titanic.csv).
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2. Extract Dataset Info (Columns, Shape, Data Types)
Write a Pandas program to extract the column labels, shape and data types of the dataset (titanic.csv).
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3. Pivot Table with Multiple Indexes from Titanic
Write a Pandas program to create a Pivot table with multiple indexes from the data set of titanic.csv.
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4. Pivot Table: Survival Rate by Gender on Various Classes
Write a Pandas program to create a Pivot table and find survival rate by gender on various classes.
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5. Pivot Table: Survival Rate by Gender
Write a Pandas program to create a Pivot table and find survival rate by gender.
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6. Pivot Table: Survival Rate by Gender, Age Wise of Various Classes
Write a Pandas program to create a Pivot table and find survival rate by gender, age wise of various classes.
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7. Partition Passengers into Age Categories
Write a Pandas program to partition each of the passengers into four categories based on their age.
Note: Age categories (0, 10), (10, 30), (30, 60), (60, 80)
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8. Pivot Table: Count Survival by Gender and Age Categories
Write a Pandas program to create a Pivot table and count survival by gender, categories wise age of various classes.
Note: Age categories (0, 10), (10, 30), (30, 60), (60, 80)
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9. Pivot Table: Survival Rate by Gender and Age Categories
Write a Pandas program to create a Pivot table and find survival rate by gender, age of the different categories of various classes.
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10. Pivot Table: Survival Rate by Gender, Age, and Fare Partition
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.
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11. Pivot Table: Count of Women and Men in a Cabin Class
Write a Pandas program to create a Pivot table and calculate number of women and men were in a particular cabin class.
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12. Pivot Table: Survival by Gender and Class
Write a Pandas program to create a Pivot table and find survival of both gender and class affected.
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13. Pivot Table: Survival Totals of All Classes
Write a Pandas program to create a Pivot table and compute survival totals of all classes along each group.
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14. Pivot Table: Count Women and Men in Cabin Class (Alternate)
Write a Pandas program to create a Pivot table and calculate how many women and men were in a particular cabin class.
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15. Pivot Table: Survivors and Average Rate by Gender and Class
Write a Pandas program to create a Pivot table and find number of survivors and average rate grouped by gender and class.
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16. Pivot Table: Count Adult Males, Adult Females, and Children
Write a Pandas program to create a Pivot table and find number of adult male, adult female and children.
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17. Pivot Table: Check Missing Values of Children
Write a Pandas program to create a Pivot table and check missing values of children.
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18. Pivot Table: Survival by Solo Boarding
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.
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19. Pivot Table: Survival Probability by Class, Gender, Solo Boarding, and Port
Write a Pandas program to create a Pivot table and find the probability of survival by class, gender, solo boarding and port of embarkation.
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Salesdata.xlsx:
Download (Salesdata.xlsx) from here
Titanic.csv:
Source: OpenDataSoft
Download (Titanic.csv) from here
Python Code Editor:
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