Hi, My data frame contains unicode strings. Now when I use 'to_csv' without any quoting parameter, I get a csv file where certain fields (2 out of 11 to be exact) are in double quotes. For example: 28,"May 8, 2013 10:22 AM","76th St, Yates Blvd",41.75717,-87.56633,3,-,1,4,- Now when I use csv.QUOTE_NONE i get the following error: Error: need to escape, but no escapechar set So i do the following (quoting=csv.QUOTE_NONE, escapechar='"'), and I get this: 28,May 8", 2013 10:22 AM,76th St", Yates Blvd,41.75717,-87.56633,3,-,1,4,- So I get a new quote (") in those 2 fields. How to get around this problem? Thanks.

Sample code is below:

id = [u'1']
date = [u'Jan 12, 2013 08:30 AM']
location = [u'Ashland Avenue, Polk Street']
vehicles = [u'4']
drunken_persons = [u'-']
fatalities = [u'3']
persons = [u'4']
pedestrians = [u'-']

data = pd.DataFrame({'#':id, 'Date':date, 'Vehicles':vehicles, 'Drunken Persons':drunken_persons, 'Fatalities':fatalities, 'Persons':persons,  'Pedestrians':pedestrians, 'Location':location})

data[['#','Date','Location','Vehicles','Drunken Persons','Fatalities','Persons', 'Pedestrians']].astype(str).to_csv('Test.csv',  sep=',', index = False, quoting=csv.QUOTE_NONE, escapechar='"')

Comment From: kawochen

Maybe consider not using commas in your data or using something other than commas (like pipes) to delimit your file?

Comment From: jorisvandenbossche

This is the expected behaviour, since you explicitly told to_csv to use that quote the escape the comma's using escapechar='"' (docstring explanation of escapechar: "One-character string used to escape delimiter when quoting is QUOTE_NONE.").

E.g. using a backslash to escape the comma:

In [123]: print data.to_csv(quoting=csv.QUOTE_NONE, escapechar='\\')
,#,Date,Drunken Persons,Fatalities,Location,Pedestrians,Persons,Vehicles
0,1,Jan 12\, 2013 08:30 AM,-,3,Ashland Avenue\, Polk Street,-,4,4

What do you exactly want to obtain?

Comment From: jorisvandenbossche

I am closing this issue as it is not a bug, but we can certainly discuss further what you are looking for.

Comment From: pronojitsaha

@kawochen using '|' as delimiter solved the problem. I got the following output:

1|Jan 12, 2013 08:30 AM|-|3|Ashland Avenue, Polk Street|-|4|4

@jorisvandenbossche I understood the mistake in trying to use ',' as the delimiter since one of the fields was already having ',' in the data field, hence creating the difficulty with csv.QUOTE_NONE.

Thanks guys.