Bruzzese Inskeep Nemera Submission for exercise 6

exercise6.py

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+#### EXERCISE 6 #####
+#question 1
+
+#load the dataset
+import pandas
+bball = pandas.read_csv("UWvMSU_1-22-13.txt", sep='\t', lineterminator='\r')
+
+#create blank column totalscore
+bball2=bball.assign(totalscore="")
+
+#make blank lists
+uw_list = []
+msu_list = []
+
+#fill lists - one for each team
+for i in range(0,len(bball2),1):
+    if bball2.team[i]=="UW":
+        uw_list.append(i)
+    else:
+       msu_list.append(i)
+
+#add total score columns UW
+for i in range(len(uw_list)):
+    if i == 0:
+        bball2.loc[uw_list[i], "totalscore"] = bball2.score.loc[uw_list[i]]
+    else:
+        bball2.loc[uw_list[i], "totalscore"] =bball2.totalscore.loc[uw_list[i-1]] + bball2.score.loc[uw_list[i]]
+
+
+#add total score msu
+
+for i in range(len(msu_list)):
+    if i == 0:
+        bball2.loc[msu_list[i], "totalscore"] = bball2.score.loc[msu_list[i]]
+    else:
+        bball2.loc[msu_list[i], "totalscore"] = bball2.totalscore.loc[msu_list[i - 1]] + bball2.score.loc[msu_list[i]]
+
+print (bball2)
+
+#making the plot!
+from plotnine import *
+p=(ggplot(data=bball2)
+   + aes(x= "time", y= "totalscore", group= 'team', color= 'team')
+   + geom_line()
+   + geom_point()
+   + xlab("Game Progress")
+   + ylab("Total Score")
+   + xlim(0,40)
+   +scale_color_manual(values=['green','red'])
+   + theme_classic()
+)
+print p
+
+
+#question 2
+import numpy
+rand = numpy.random.randint(1, 101)  #Generates a random number
+while True:   #Loops through three conditions
+    print("I'm thinking of a number 1-100...")
+    guess = input("Guess")  #Allows user to input a "Guess"
+    if guess < rand:        #Returns appropriate hint for comparison of rand to Guess
+        print("Higher")
+        continue
+    elif guess > rand:
+        print("Lower")
+        continue
+    elif guess == rand:
+        print("Correct!")
+        break