Bar chart

# Bar Chart

import matplotlib.pyplot as plot
import random  #just to generate data for testing

# Add your count function here
def count(target_grade,scores_list):
    target_hits = 0
    for score in scores_list:
        if score == target_grade:
            target_hits += 1
    return target_hits

# Preparing raw data for bar chart: occurrence counts
def bar_chart_counts(scores):
    scores_bar = []
    for x in range(11):
        scores_bar.append(count(x, scores))
    print("Bar chart data: ", scores_bar)
    sum = 0
    for index in range(len(scores_bar)):
        sum += scores_bar[index]
    if sum == len(scores):
        print("total number of data points in bar chart is: ", sum)
        return scores_bar
    else:
        print("Warning: there is something wrong here.")

# Produce a bar chart from raw data, original scores
def construct_bar_chart(scores):
    scores_bar = bar_chart_counts(scores) #generate occurrence count

    plot.bar(range(11), scores_bar, align='center', alpha=0.5)

    plot.xticks(range(11))
    plot.ylabel('Score frequency')
    plot.title('Scores on a quiz')

    plot.show()
    plot.savefig(fname="Quiz Chart.png")

# "Create" a list of scores, randomly
scores = []
for x in range (0, 30):
  scores.append(random.randint(0, 10))
print("list of scores ", scores)

#####################################

construct_bar_chart(scores)