meanfunction

import matplotlib.pyplot as plot
import random

def mean_score(alist):
    sum=0
    counts = len(alist)    # Inumber of scores in list
    for score in alist:
        sum += score
        mean=sum/counts
    return mean


def count(mark,alist):
    counts = 0    # Initialise a variable for counting scores of ten
    for countr in alist:
      if countr == mark:
        counts += 1
    return counts

def ucount(mark,alist):
    counts = 0    # Initialise a variable for counting scores of ten
    for countr in alist:
      if countr < mark:
        counts += 1
    return counts

def numberAtEachCore(alist):
    #create an zeroed results 'array'
    res=[]
    for i in range(11):
        res.append(0)
    for cScore in alist:
        res[cScore]+=1
    return res

def print_data(alist):
    print('\nStudent Performance')
    for i in range(len(alist)):
        print('{0} students) scored {1}'.format(alist[i],i))




#set up some sample scores
scores = []

for x in range (0, 50):
  scores.append(random.randint(0, 10))

print('Generated \'random\' scores: {0}'.format(scores))

top_scorers = count(10, scores)
lowmark=4
low_scorers = ucount(lowmark, scores)
themean = mean_score(scores)
print("{0} learners got top marks".format(top_scorers))
print("{0} learners got under {1} marks".format(low_scorers,lowmark))
print("{0} mean score for these data".format(themean))


performance=numberAtEachCore(scores)
print(performance)
print_data(performance)

#plot results with red bars for fails 3 or less,
#orange 4, yellow satisfactory 5-8,
#green excellent 9 or 100

plot.bar(range(11),  performance, align='center',alpha=0.99, color=['red', 'red', 'red', 'red', 'orange', 'yellow', 'yellow', 'yellow', 'yellow', 'green', 'green'])

plot.xticks(range(11))
plot.ylabel('Score frequency')
plot.xlabel('Score')
plot.title('Scores on a quiz\nred: poor,orange:OK,yellow:satisfactory,green:excellent')
plot.axhline(y=themean, xmin=0.0, xmax=1.0, color='b')
plot.show()
plot.savefig(fname="QuizChart.png")
quit()