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Mapping CSV Rows to Dictionaries

CSV files are an efficient and very common way to move data around. The can be imported into Excel very easily for review and editing, and then exported to CSV for other operations. They can also easily be imported into pandas dataframes for work. So in this lab we will use Python's `csv` module to read CSV into dictionaries, allow the intended user to make necessary operations on the data in the dictionaries, and then return them to CSV for further operations. You will need to know basic Python programming and have knowledge of Python's `csv` module: - [Certified Associate in Python Programming Certification](

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Path Info

Clock icon Beginner
Clock icon 30m
Clock icon Jun 05, 2020

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Table of Contents

  1. Challenge

    Convert a CSV File to a List of 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:


    You will get a message that "the returned data does not match the expected dict." So please complete the function def csv2dict(filename) in 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:
            return data

    Run python

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

  2. Challenge

    Convert a List of Dictionaries to CSV

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

    Please run python 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)
    Run `python`.
    **Awesome!** You have mastered moving data from CSV to dictionaries and dictionaries to CSV.

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