Python csv without header

Question

With header information in csv file, city can be grabbed as:

city = row['city'] 

Now how to assume that csv file does not have headers, there is only 1 column, and column is city.

Answer 1

You can still use your line, if you declare the headers yourself, since you know it:

with open('data.csv') as f:     cf = csv.DictReader(f, fieldnames=['city'])     for row in cf:         print row['city'] 

For more information check csv.DictReader info in the docs.

Another option is to just use positional indexing, since you know there's only one column:

with open('data.csv') as f:     cf = csv.reader(f)     for row in cf:         print row[0] 

Answer 2

You can use pandas.read_csv() function similarly to the way @nosklo describes, as follows:

df = pandas.read_csv("A2", header=None) print df[0] 

or

df = pandas.read_csv("A2", header=None, names=(['city'])) print df['city']