Average grades bar chart  Write a python program grades.py that reads a file of assignment grades and draws a bar chart of the average grades for each assignment.  Save the figure as grades.png in the current working directory. The format of a line in the file is: assignment_type grade Note that there is a single space between the assignment type and the grade. E.g. exam 92.80 Your program must contain the following functions: Function name Function description Function input(s) Function return value(s) get_grades() This function takes a file name as input and populates a dictionary containing the assignment types and grades. Filename string Dictionary of grades main() This function prompts for the grades file name. Next, it calls the functions get_grades(). Next, it draws the bar chart of the average grade for each assignment. Hint: You can use the mean function of the statistics module to calculate the average of a list. None None Use the starter code here   import matplotlib.pyplot as drawing import statistics def get_grades(filename):                """ This function takes a file name as input and populates a dictionary containing the assignment types and grades.               @param filename:               @return: dictionary of grades """                gradebook = dict()                # todo                return gradebook def main():                """ This function prompts for the grades file name. Next, it calls the functions get_grades(). Next, it draws the bar chart of the average grade for each assignment.               @return: """               filename = input("Enter the grade file name: ")                gradebook = get_grades(filename)                print(f'The dictionary of grades is: {gradebook}')                # todo if __name__ == '__main__': main() Some sample score files are provided (these are examples only-you do not need to assume these will be the same numbers) quiz 98 quiz 60.25 exam 92.80 quiz 100 exam 50 lab 82.76 quiz 75 quiz 76.23 quiz 82 lab 89 lab 100 exam 95.1 lab 76.88 Ex 2 exam 79 reading 25 reading 90 reading 93.08 quiz 40 exam 68.32 exam 72 quiz 46 quiz 80.19 lab 100 lab 80 reading 71 lab 78 Sample output Enter the grade file name: grades1.txt The dictionary of grades is: {'quiz': [98.0, 60.25, 100.0, 75.0, 76.23, 82.0], 'exam': [92.8, 50.0, 95.1], 'lab': [82.76, 89.0, 100.0, 76.88]} Expected bar chart below     Sample output Enter the grade file name: data/grades2.txt The dictionary of grades is: {'exam': [79.0, 68.32, 72.0], 'reading': [25.0, 90.0, 93.08, 71.0], 'quiz': [40.0, 46.0, 80.19], 'lab': [100.0, 80.0, 78.0]}   Expected bar chart below

Average grades bar chart 

Write a python program grades.py that reads a file of assignment grades and draws a bar chart of the average grades for each assignment. 

Save the figure as grades.png in the current working directory.

The format of a line in the file is: assignment_type grade

Note that there is a single space between the assignment type and the grade. E.g. exam 92.80

Your program must contain the following functions:

Use the starter code here

import matplotlib.pyplot as drawing

import statistics

def get_grades(filename):

               """ This function takes a file name as input and populates a dictionary containing the assignment types and grades.

              @param filename:

              @return: dictionary of grades """

               gradebook = dict()

               # todo

               return gradebook

def main():

               """ This function prompts for the grades file name. Next, it calls the functions get_grades(). Next, it draws the bar chart of the average grade for each assignment.

              @return: """

              filename = input("Enter the grade file name: ")

               gradebook = get_grades(filename)

               print(f'The dictionary of grades is: {gradebook}')

               # todo

if __name__ == '__main__':

main()

Some sample score files are provided (these are examples only-you do not need to assume these will be the same numbers)

quiz 98

quiz 60.25

exam 92.80

quiz 100

exam 50

lab 82.76

quiz 75

quiz 76.23

quiz 82

lab 89

lab 100

exam 95.1

lab 76.88

Ex 2

exam 79

reading 25

reading 90

reading 93.08

quiz 40

exam 68.32

exam 72

quiz 46

quiz 80.19

lab 100

lab 80

reading 71

lab 78

Sample output

Expected bar chart below

Sample output

Expected bar chart below