csv.DictReader(csvfile, fieldnames=None, restkey=None, restval=None, dialect=’excel’, *args,**kwds)
Create an object which operates like a regular reader but maps the information read into a dict whose keys are given by the optional fieldnames parameter. The fieldnames parameter is a sequence whose elements are associated with the fields of the input data in order. These elements become the keys of the resulting dictionary. If the fieldnames parameter is omitted, the values in the first row of the csvfile will be used as the fieldnames. If the row read has more fields than the fieldnames sequence, the remaining data is added as a sequence keyed by the value of restkey. If the row read has fewer fields than the fieldnames sequence, the remaining keys take the value of the optional restval parameter. Any other optional or keyword arguments are passed to the underlyingreader instance.
A short usage example:
>>> import csv >>> with open('names.csv') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ...
So if you have a csv with First Name & Last name as the headers in the first row , the command row[‘first_name’] would give the field under that keyword(First Name) row by row. This was very very useful for my implementation.