Lab 10 - Python Data Types

1. Lab 10 - Python Data Types JT Turner

2. Lab Objectives -This lab we will be using pythons data types to display and access information from a list -Gain Practice using File I/O -Learn how Batting Averages are computed

3. Batting Average In baseball, a player's batting average is how efficiently they hit the ball, computed by how many times they have hit the ball divided by how many total at bats they have had .avg = Total Hits Total At Bats For this lab, assume Total At bats = 1000 1.000 = Perfect Batting 0.000 = No hits 0.232 = Washington Nationals Average

4. Step 0: Main We need the data file from JT's pub directory... cp /afs/umbc.edu/users/j/t/jturner1/pub/retrievers.txt . Your main should: -Open the file -Create a new Dictionary -Pass lines of file and dictionary to "makeDict" function -Pass Dictionary to "getAvg" function

5. Step 1: makeDict -Make Dictionary should take in as parameters: -The dictionary to add to -Line of the data file -We can use the line.split() to change: 'dan 236' into ['dan' , '236'] -Cast the 236 into a float, and divide by 1000.0 dict_name[player_name] = average

6. Step 2: getAvg - Get Average should only take in the dictionary, and prompt the user for name -If the player is not in the dictionary, dict_name.has_key(player) #will be false -And you should say that the player is not on the team -If the player is on the team, print "%s has avg %.3f" %(name, dict_name.get(name))

7. Extra Credit: Team Average Write a function that takes in the dictionary, and computes what the teams batting average is. -Don't reread the file and add all the hits again, it's easier to just sum the batting averages and divide by number of players.