![]() The columns in each subsequent row then behave like dictionary values and can be accessed with the appropriate key. ![]() It works by reading in the first line of the CSV and using each comma separated value in this line as a dictionary key. Python's DictReader class basically creates a CSV object that behaves like a Python OrderedDict. Reader = csv.reader(csvfile, delimiter=',')Įvery row is returned as an array and can be accessed as such, to print the first cells we could simply write: row, row, row etc. ![]() This method returns a reader object, which can be iterated over to retrieve the lines of your CSV and the data is read as a list of strings. The csv.reader() method can be used to extract data from a file that contains CSV-formatted data. You can use the csv module's reader function or you can use the DictReader class. The csv module in Python implements classes to operate with CSV files. All CSV files are plain text, can contain numbers and letters only, and structure the data contained within them in a tabular, or table, form. A CSV is a comma separated values file which allows data to be saved in a table structured format.
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