Pandas Excel: Exercises, Practice, Solution
[The purpose of the following exercises to show various Excel tasks. We have executed Python code in Jupyter QtConsole and used coalpublic2013.xlsl (Historical Coal Production Data: 2013) as reference data (modified version). To get Jupyter QtConsole download Anaconda from here. Download original coalpublic2013.xls file from here. ]
Pandas Excel [25 exercises with solution]
1. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a Pandas dataframe. Go to Excel data
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2. Write a Pandas program to get the data types of the given excel data (coalpublic2013.xlsx ) fields. Go to Excel data
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3. Write a Pandas program to read specific columns from a given excel file. Go to Excel data
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4. Write a Pandas program to find the sum, mean, max, min value of 'Production (short tons)' column of coalpublic2013.xlsx file. Go to Excel data
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5. Write a Pandas program to insert a column in the sixth position of the said excel sheet and fill it with NaN values. Go to Excel data
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6. Write a Pandas program to import some excel data (coalpublic2013.xlsx ) skipping first twenty rows into a Pandas dataframe. Go to Excel data
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7. Write a Pandas program to add summation to a row of the given excel file. Go to Excel data
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8. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a Pandas dataframe and display the last ten rows. Go to Excel data
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9. Write a Pandas program to create a subtotal of "Labor Hours" against MSHA ID from the given excel data (coalpublic2013.xlsx ). Go to Excel data
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10. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and find a specific MSHA ID. Go to Excel data
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11. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and find details where "Labor Hours" > 20000. Go to Excel data
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12. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and find details where "Mine Name" starts with "P". Go to Excel data
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13. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and find all records that include two specific MSHA ID. Go to Excel data
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14. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a Pandas dataframe and find a list of specified customers by name. Go to Excel data
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15. Write a Pandas program to import excel data (employee.xlsx ) into a Pandas dataframe and find a list of employees where hire_date> 01-01-07. Go to Excel data
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16. Write a Pandas program to import excel data (employee.xlsx ) into a Pandas dataframe and to sort the records by the hire_date column. Go to Excel data
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17. Write a Pandas program to import excel data (employee.xlsx ) into a Pandas dataframe and find a list of employees where hire_date between two specific month and year. Go to Excel data
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18. Write a Pandas program to import excel data (employee.xlsx ) into a Pandas dataframe and find a list of employees of a specified year. Go to Excel data
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19. Write a Pandas program to import excel data (employee.xlsx ) into a Pandas dataframe and convert the data to use the hire_date as the index. Go to Excel data
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20. Write a Pandas program to import given excel data (employee.xlsx ) into a Pandas dataframe and sort based on multiple given columns. Go to Excel data
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21. Write a Pandas program to import sheet2 data from a given excel data (employee.xlsx ) into a Pandas dataframe. Go to Excel data
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22. Write a Pandas program to import three datasheets from a given excel data (coalpublic2013.xlsx ) and combine in to a single dataframe. Go to Excel data
Note: Structure of the three datasheets are same.
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23. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and draw a bar plot where each bar will represent one of the top 10 production. Go to Excel data
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24. Write a Pandas program to import excel data (coalpublic2013.xlsx ) into a dataframe and draw a bar plot comparing year, MSHA ID, Production and Labor_hours of first ten records. Go to Excel data
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25. Write a Pandas program to import three datasheets from a given excel data (employee.xlsx ) into a single dataframe and export the result into new Excel file. Go to Excel data
Note: Structure of the three datasheets are same.
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Excel Data:
coalpublic2013.xlsx:
employee.xlsx:
Sheet-1
Sheet-2
Sheet-3
Download (Coalpublic2013.xlsx) from here
Download (employee.xlsx) from here
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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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")
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