# Pandas Pivot Table: Exercises, Practice, Solution

[An editor is available at the bottom of the page to write and execute the scripts.]

## 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
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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
Click me to see the sample solution

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

Salesdata.xlsx:

Titanic.csv:

Source: OpenDataSoft

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

Simplify the way you collapse nested lists:

```x = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9]
]
x
```

Output:

```[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
```
```result = []
for sublist in x:
for item in sublist:
result.append(item)
result
```

Output:

```[1, 2, 3, 4, 5, 6, 7, 8, 9]
```
`[item for sublist in x for item in sublist]`

Output:

```[1, 2, 3, 4, 5, 6, 7, 8, 9]
```
```import itertools
itertools.chain(*x)
```

Output:

```<itertools.chain at 0x1dd5fb60320>
```
`list(itertools.chain(*x))`

Output:

```[1, 2, 3, 4, 5, 6, 7, 8, 9]
```