Code due by Wednesday, 4/14 at 11:59pm
Can sbmit up to two days late for 10% penalty per day
The purpose of this assignment is to give you more practice with functions, files, and lists while using a real data set populated with career data from NBA players!
Remember, before you begin this project, review the function commenting styles that I expect. This includes comments specifying inputs/outputs and the descriptive docstring. Please create the function comments before beginning the actual coding.
Even though this program contains multiple functions you should write, the autolab will grade what is printed out when the main() function is called. That means, if you haven't yet implemented the main() function, the autolab won't be able to test your code. It also gives you a little bit of freedom in how you implement the other functions, as long as the right stuff gets printed out with main().
This is a big assignment! Start early!
Download this csv file:
Note: Use the following command to open this file in your program:
fin=open("player_career.csv","r",encoding="utf-8")
What is this file? The format of this file is easy to understand. Open the file by right clicking on the file and selecting "Open With" and selecting a text editor of some kind like textedit or notepad. The first line tells you the names of all the columns (To understand the meanings of each of the abbreviations, look at this page). After that, each line's data corresponds to one player's career statistics. Each field is separated by a comma.
When you are all done you should be able to load and invoke main() from the shell and get a response that looks like the following:
Hint: If you would like the main() function to be run automatically when you press F5, add this to the bottom of your program:
Each of the above statistics is interesting, but it only tells us how good a player is at one specific statistic. How do many NBA coaches quickly evaluate a player's overall game performance? They check his efficiency. This statistic is something like the QB passer rating we calculated earlier in the course. It is a calculation that tries to assign a number to how "well" a player played the game. Higher numbers mean a better performance from that player.
NBA.com evaluates all players based on the efficiency formula indicated below (and shown on the aboutstats.htm page). In this project, we will follow this efficiency formula. Since we are not evaluating a player based on one game, we need to divide the total efficiency by the number of games the player played. So the formula is:
The abbreviations on the right hand side of the equation correspond to the fields in the statistics file. Again, you can check out the the meanings of each of the abbreviations at: http://www.databasebasketball.com/about/aboutstats.htm
mylist = [x,y]
To append this list to a list you can just say myList.append(mylist). Then
to access the
different items in the list you index into the list twice, so for example if
you appended the
above list as the first item in a list:
myList[0][0] would return x
myList[0][1] would return y
myList = [ [3,2], [1,2], [2,5]] myList.sort() # myList will be [ [1,2], [2,5], [3,2]] myList.reverse() # myList will be [ [3,2], [2,5], [1,2]]
Please upload your program and paragraphs to the program submission system. The program is worth 25 points. The program submission system will be running your main function and will give you more points for each top 10 list you are able to generate.