BUG: Fix crash using to_csv with QUOTE_NONE
Fixes #4328.

Now passes `quotechar` to csv's writer. Default is same as csv (`'"'`), but sets to `None` with `quoting=csv.QUOTE_NONE`.

@jreback can you glance at this before I merge?
 looks good

weird csv bug
 yeah, the issue is that the default quotechar is `'"'` for csv itself - I wonder whether I can trigger this with normal `csv` writing. Maybe worth filing a bug report...
 yep, easy to trigger. Maybe I'll file an issue...
 I think this was the wrong solution actually...there's a specific parameter `escapechar` defined that is used only when quoting is set to `QUOTE_NONE`, so we probably should have just added an extra kwarg `escapechar` and used that instead (and pushed the user to make a decision). it's such a minor case, not sure if it's worth revisiting...
 Hi, 
I am having this issue still now. 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. 
 you need to provide a copy-pastable example which reproduces
 Please find 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='"')
```
 pls only an example that is not subject to these types of external dependencies. 
 OK. I have updated the original post. 
 and this is a merged issues, so pls open a new one
 Ok, done. Here - https://github.com/pydata/pandas/issues/10783
