Bar_chart_matplotlib

#Bar_chart_matplotlib coded by Ken Adams
#Charting results of counting randomly generates using test scores random.randintand.
#Then plots a bar chart using matplotlib. At the beginning the user is asked how many scores
#they wish to genrate.Note;
#There is educational value because the user will see that the mors scores generated the more near equal
#the frequency distribution becomes.

import matplotlib.pyplot as plot
import random
scores = [] # to hold the randomly generarted scores

scores_top = int(input(" How many test scores do you want to generate? " ))

for x in range (0, scores_top):
  scores.append(random.randint(0, 10))# randomly generates 30 scores in the range 10 to 10

#print(scores) # for testing
performance = [] # the frequency of scores will ed up here

def score_freq(scores_list):# a list of scores is passed to this function
    freq = [] # will record the frequency of each score
    for x in range(11):# looping 0 to 10

        score_x = scores_list.count(x) #example for digit '2' conuits the number of 2's scored
        #print(str(x) + " " + str(score_x)) # test code
        freq.append(score_x)# at the x variable continues freq is built in correct order 0 to 10
    return freq # An external list gets its information from freq


performance = score_freq(scores) # performance now has the frequencies
#print(performance) # for testing

# The rest of the code is for plotting
plot.bar(range(11), performance, align='center', alpha=0.5)

plot.xticks(range(11))
plot.ylabel('Score frequency')
plot.title('class Test Scores ')

plot.show()
plot.savefig(fname="2.10(102) bar Chart.png")