I\'m trying to read a csv file but it doesn\'t work. I can read my csv file but when I see what I read, there where white space between values.
Here is my code
I prefer to use numpy's genfromtxt rather than the standard csv library, because it generates numpy's recarray, which are clean data structures to store data in a table-like object.
>>> from numpy import genfromtxt
>>> data = genfromtxt(csvfile, delimiter=',', dtype=None)
# data is a table-like structure (a numpy recarray) in which you can access columns and rows easily
>>> data['firstcolumn']
<content of the first column>
EDIT: This answer is quite old. While numpy.genfromtxt, nowadays most people would use pandas:
>>> import pandas as pd
>>> pd.read_csv(csvfile)
This has the advantage of creating pandas.DataFrame, which is a better structure for data analysis.
If you have control over the data, use tab-delimited instead::
import csv
import string
writer = open('junk.txt', 'wb')
for x in range(10):
writer.write('\t'.join(string.letters[:5]))
writer.write('\r\n')
writer.close()
reader = csv.reader(open('junk.txt', 'r'), dialect='excel-tab')
for line in reader:
print line
This produces expected results.
A tip for getting more useful feedback: Demonstrate your problem through self-contained and complete example code that doesn't contain extraneous and unimportant artifacts.
You don't do anything with the dialect you've defined. Did you mean to do this:
csv.register_dialect('windows_dialect', windows_dialect)
p = csv.reader(contenu, dialect='windows_dialect')
Also not sure what the reco
function is for.