reads csv files

csv_func.py

# creating function to split header
def parse_headers(header_line):
    return header_line.strip().split(',')
# function to replace missing values
def parse_values(data_line):
    values = []
    for items in data_line.strip().split(','):
        if items == '':  # check if there is an empty string
            values.append(0.0)
        else:
            values.append(float(items))
    return values
# function to create dictionary of items
def create_item_dict (values , headers):
    results = {}
    for value , header in zip(values , headers):
        results[header] = value
    return results

# creating a read_csv function
def read_csv (path):
    result = []
    # open the file in read mode
    with open (path , 'r') as f:
        # get a list of lines
        lines = f.readlines()
        # parse the header
        headers = parse_headers(lines[0])
        # loop over the remaining lines
        for data_line in lines[1:]:
            # parse the values
            values = parse_values(data_line)
            # create a dictionary using values and headers
            item_dict = create_item_dict(values , headers)
            # add the dictionary to the result
            result.append(item_dict)
    return result