On 11 Dic, 20:24, "Guilherme Polo" <[EMAIL PROTECTED]> wrote:
>
> Post your actual problem so you can get more accurate help.
Hi Guilhermo,
I have not an actual problem. I'm just trying to use the CSV module
and I mostly can get it working. I just think its interface is much
less than perfect. I'd like something I can, say, give a whole
dictionary in input and obtain a CSV file in output, with each key of
the dictionary being a column in the CSV file. Or a row, if I prefer.
Something like:
dict={'First':[1,2,3,4],'Second':[10,20,30,40],'Third':
[100,200,300,400]}
f=open('test.csv','w')
try:
csv_write_dict(f,dict,keys='columns',delimiter=',')
finally:
f.close()
and obtaining:
First,Second,Third
1,10,100
2,20,200
3,30,300
4,40,400
Doing the same thing with the current csv module is much more
cumbersome: see this example from
http://www.oreillynet.com/onlamp/blog/2007/08/pymotw_csv.html
f = open(sys.argv[1], 'wt')
try:
fieldnames = ('Title 1', 'Title 2', 'Title 3')
writer = csv.DictWriter(f, fieldnames=fieldnames)
headers = {}
for n in fieldnames:
headers[n] = n
writer.writerow(headers)
for i in range(10):
writer.writerow({ 'Title 1':i+1,
'Title 2':chr(ord('a') + i),
'Title 3':'08/%02d/07' % (i+1),
})
finally:
f.close()
Another unrelated quirk I've found is that iterating the rows read by
a csv reader object seems to erase the rows themselves; I have to copy
them in another list to use them.
Probably it's me not being a professional programmer, so I don't
understand that somehow the csv module *has* to be done this way. If
it's so, I'd like to know about it so I can learn something.
> For the questions you placed: google for them, look at python pep 305
I googled (before and after sending this post). I found mentions of
people writing a purely Python csv module but I didn't find their
code. As for pep 305, thanks, but it seems just to be a description of
the actual csv module (useful,anyway).
m.
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