Corley-Midlige Submission

exercise6part1.py

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+import os
+import numpy
+import pandas
+
+#set the working directory
+scores = pandas.read_csv("UWvMSU_1-22-13.txt", header=0, sep="\t")
+
+#generate an array with a cumulative score for each team whenever either team scores 
+A = numpy.zeros((51,3)) #tells python how big we want the table to be. 
+B = pandas.DataFrame(A,columns=['time','UWscore','MSUscore']) #labels each column 
+
+UWscore=0
+MSUscore=0
+for i in range(0,len(scores),1):
+    if scores.iloc[i,1] == "UW":
+        UWscore +=scores.iloc[i,2]
+    else:
+        MSUscore +=scores.iloc[i,2]
+    B.iloc[i+1,1]=UWscore
+    B.iloc[i+1,2]=MSUscore
+
+    B.iloc[i+1,0]=scores.iloc[i,0]
+
+import matplotlib.pyplot as plt
+plt.plot(B.time,B.UWscore,'-r',B.time,B.MSUscore,'g-')

exercise6part2.py

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+import numpy
+import pandas
+
+number=numpy.random.choice(range(1,100,1))
+print "I'm thinking of a number between 1 and 100..."
+
+Guess=0
+while int(Guess) != number:
+    Guess=raw_input("take a guess")
+    if int(Guess)<number:
+        print "Higher"
+    elif int(Guess)>number:
+        print "Lower"
+    else:
+        print "Correct"

exercise6script.py

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+import os
+import numpy
+import pandas
+
+#set the working directory
+scores = pandas.read_csv("UWvMSU_1-22-13.txt", header=0, sep=",")
+
+#generate an array with a cumulative score for each team whenever either team scores 
+A=numpy.zeros((51,3)) #tells python how big we want the table to be. 
+B=pandas.DataFrame(A,columns=['time','Wisconsin','Michigan']) #labels each column 
+
+UWscore=0
+MSUscore=0
+for i in range(2,len(scores),1):
+    if scores.iloc[i,1] == "UW":
+        UWscore += A.iloc[i,1]
+    else:
+        MSUscore +=A.iloc[i,2]
+print A