Pandas Pivot Table: Exercises, Practice, Solution
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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.
Go to Excel data1. Write a Pandas program to create a Pivot table with multiple indexes from a given excel sheet (Salesdata.xlsx). 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. 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.
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4. Write a Pandas program to create a Pivot table and find the item wise unit sold.
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5. Write a Pandas program to create a Pivot table and find the region wise total sale.
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6. Write a Pandas program to create a Pivot table and find the region wise, item wise unit sold.
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7. 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. 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. 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. Write a Pandas program to create a Pivot table and find the region wise Television and Home Theater sold.
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11. Write a Pandas program to create a Pivot table and find the maximum sale value of the items.
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12. Write a Pandas program to create a Pivot table and find the minimum sale value of the items.
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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.
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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).
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2. Write a Pandas program to extract the column labels, shape and data types of the dataset (titanic.csv).
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3. Write a Pandas program to create a Pivot table with multiple indexes from the data set of titanic.csv.
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4. Write a Pandas program to create a Pivot table and find survival rate by gender on various classes.
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5. Write a Pandas program to create a Pivot table and find survival rate by gender.
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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.
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7. 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. 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. 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. 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. 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. Write a Pandas program to create a Pivot table and find survival of both gender and class affected.
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13. Write a Pandas program to create a Pivot table and compute survival totals of all classes along each group.
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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.
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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.
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16. Write a Pandas program to create a Pivot table and find number of adult male, adult female and children.
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17. Write a Pandas program to create a Pivot table and check missing values of children.
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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.
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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.
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Salesdata.xlsx:
Download (Salesdata.xlsx) from here
Titanic.csv:
Source: OpenDataSoft
Download (Titanic.csv) from here
Python Code Editor:
More to Come !
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