def replace_street_abbreviations_with_full_name(street_str):
    """
    Returns the string with street abbreviations (e.g., "Ave") replaced with their full street name (e.g., "Avenue")

    Keyword arguments:
    street_str : string that corresponds to the CSV's file column 'Street'
    """

    abbreviation_to_full_dict = {r'\bAve\b': "Avenue",
                                r'\bDr\b': "Drive",
                                r'\bBlvd\b': "Boulevard",
                                r'\bSt\b': "Street",
                                r'\bRd\b': "Road",
                                r'\bPl\b': "Plaza",
                                r'\bCt\b': "Court",
                                r'\bHwy\b': "Highway"}


    for abbreviation, full in abbreviation_to_full_dict.items():
        street_str = re.sub(abbreviation, full, street_str, flags=re.IGNORECASE)

    return street_str

data_frame['Street'] = data_frame['Street'].apply(lambda row: replace_street_abbreviations_with_full_name(row))