Scientific Computing
Create a new file called plotFrequency.py
and save to your cs100/ch4
folder.
import turtle
import math
#
def mean(alist):
mean = sum(alist) / len(alist)
return mean
#
def frequencyChart(alist):
#
countdict = {}
#
for item in alist:
if item in countdict:
countdict[item] = countdict[item]+1
else:
countdict[item] = 1
#
itemlist = list(countdict.keys())
minitem = 0
maxitem = len(itemlist)-1
#
countlist = countdict.values()
maxcount = max(countlist)
#
#
wn = turtle.Screen()
chartT = turtle.Turtle()
wn.setworldcoordinates(-1,-1,maxitem+1,maxcount+1)
chartT.hideturtle()
#
chartT.up()
chartT.goto(0,0)
chartT.down()
chartT.goto(maxitem,0)
chartT.up()
#
chartT.goto(-1,0)
chartT.write("0",font=("Helvetica",16,"bold"))
chartT.goto(-1,maxcount)
chartT.write(str(maxcount),font=("Helvetica",16,"bold"))
#
for index in range(len(itemlist)):
print("Index: ", index)
chartT.goto(index,-1)
chartT.write(str(itemlist[index]),font=("Helvetica",16,"bold"))
chartT.goto(index,0)
chartT.down()
chartT.goto(index,countdict[itemlist[index]])
chartT.up()
# add code to plot mean of occurrences in red
wn.exitonclick()
#lst = [7, 11, 9, 18,15, 12]
lst = [3,3,5,7,1,2,5,2,3,4,6,3,4,6,3,4,5,6,6]
#lst = [2,3,4,2,3,3]
#lst = ['a', 'b', 'c', 'd', 'f', 'c', 'b', 'c', 'a', 'd', 'a', 'b', 'b', 'c', 'b', 'a', 'c', 'd']
#
frequencyChart(lst)
lst
in your file).
lst = [7,11,9,18,15,12]
lst = [17,11,28,17,11,17]
lst = [3,3,5,7,1,2,5,2,3,4,6,3,4,6,3,4,5,6,6]
lst = ['a', 'b', 'c', 'd', 'f', 'c', 'b', 'c', 'a', 'd', 'a', 'b', 'b', 'c', 'b', 'a', 'c', 'd']
Read and understand the code. Write short comments above each section of the program (on the lines marked by #
). Use your textbook as well as the online Python resource.
Modify the frequency chart function to:
Submit your working python file plotFrequency.py
to Moodle.