Mapping CSV Rows to Dictionaries

The LMS provides a CSV file for the test class named student_data.csv. You have a skeleton app that will let you write code to test the ability to make the CSV data into a dictionary.

Before writing code, please run the file to see what is failing:

python csv_dict_conversion.py

You will get a message that "the returned data does not match the expected dict." So please complete the function def csv2dict(filename) in csv_dict_conversion.py. The filename will be provided in the main function of the file.

def csv2dict(filename):

    # open file and create DictReader object
    # use the DictReader to get data and
    # add data to a variable named data_list
    with open(filename, newline='') as infile:
        reader = csv.DictReader(infile)

        data = []
        for row in reader:
            data.append(row)
        return data

Run python csv_dict_conversion.py.

Congratulations! The data is in a format the teacher's app can use.

The main function simulates that the teacher has added the grades.

Please run python csv_dict_conversion.py. You should see an error that "the written data does not match the expected data." Please complete the function def dict2csv(filename, fieldnames, data). The filename and fieldnames are provided for you. The data is the dictionary data created in the last objective with the grades added. This is also provided for you.

def dict2csv(filename, fieldnames, data):
    # open file and create DictWriter object
    # use the DictWriter to write csv data
    # to file

    with open(filename, 'w', newline='') as outfile:
        writer = csv.DictWriter(outfile, fieldnames=fieldnames)
        writer.writeheader()
        writer.writerows(data)

Run `python csv_dict_conversion.py`.

**Awesome!** You have mastered moving data from CSV to dictionaries and dictionaries to CSV.