Now, consider that a CSV file looks like this in plain-text:. This: csvreader = csv.reader(csvfile, dialect= 'mydialect') Now, while defining a csv.reader or csv.writer object, we can specify the dialect like You can define your own dialect using register_dialect method. In csv modules, an optional dialect parameter can be given which is used to define a set of parameters specific to a particular CSV format. By default, csv module uses excel dialect which makes them compatible with excel spreadsheets. of rows: %d"%(csvreader.line_num))Ĭsvreader.line_num is nothing but a counter which returns the number of rows which have been iterated. 
If you try to print each row, one can find that row is nothing but a list containing all the field values. Each row is appended to a list called rows. Now, we iterate through remaining rows using a for loop. Since the first row of our csv file contains the headers (or field names), we save them in a list called fields.
next() method returns the current row and advances the iterator to the next row. We save the csv.reader object as csvreader.Ĭsvreader is an iterable object. The file object is converted to csv.reader object. Here, we first open the CSV file in READ mode. Let us try to understand this piece of code. Run this program with the aapl.csv file in same directory. The above example uses a CSV file aapl.csv which can be downloaded from here.
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