moving_average_vb_data_3:

import matplotlib.pyplot as plt

import random

def main():

alist = [ ]

blist = [ ]

clist = [ ]

dlist = [ ]

elist = []

flist = []

size = int(input("enter size of original list"))

tplot=int(input("enter 1 for scatter plot, 2 for line plot"))

for i in range (0,size):

xx = -10 + random.randint(0,20)

yy = -10 + random.randint(0,20)

xx1 = i +20

yy1 = i +20

if (tplot == 1):

plt.plot(xx, yy, 'o', color='black')

# xx = i

# yy = i

alist.append(xx)

blist.append(yy)

elist.append(xx1)

flist.append(yy1)

# print(alist,blist)

if(tplot == 2):

plt.plot(alist,blist)

#order the points in increasing horizontal coordinate

for k in range (0,size):

for j in range (k,size):

if (alist[k] >= alist[j]):

temp = alist[k]

alist[k] = alist[j]

alist[j] = temp

temp1 = blist[k]

blist[k] = blist[j]

blist[j] = temp1

# print(alist)

# print(blist)

# input("press enter when ready to plot")

if (tplot == 2):

plt.plot(alist,blist)

# plt.show()

ind =int(input("enter ind =1 to plot only last smoothed curve, 0 for all smoothed curves"))

num =int(input("enter number of moving averages"))

# perform num moving averages

# restore the first and last points from previous list so the list is not shortened

for j in range (1,num+1):

for kk in range (1,size-1):

yy = (blist[kk-1] +blist[kk] +blist[kk+1])/3

clist.append(yy)

dlist.append(alist[kk])

# restore beginning and end points from previous list into smoothed list

clist.insert(0,blist[0])

dlist.insert(0,alist[0])

clist.insert(len(blist)-1,blist[size-1])

dlist.insert(len(alist)-1,alist[size-1])

if ((j == num) and (ind == 1) ):

plt.plot(dlist,clist)

if ( ind == 0):

plt.plot(dlist,clist)

# reinitialize the lists-- blist gets the last smoothed curve, clist

blist = clist

alist = dlist

# reset clist and dlist to empty lists

clist = [ ]

dlist = [ ]

size = len(blist)

# print(blist)

# print(alist)

plt.plot(elist,flist)

plt.show()

main()

3) Modify moving_average_vb_data_3 to plot a rectangle in the upper right hand portion of the Viewing area using a) Plot Line commands b) A rectangle command c) If you use equal dimensions for the length and width of the rectangle, the output plot In general will not exhibit what looks like a square but will distort the shape. Explain why this happens Figure 1 40 30 20 10 -10 10 20 30 40