python prettytable module raise Не удалось определить ошибку разделителя для действительного файла csv

Question

Я пытаюсь использовать симпатичный модуль для печати данных из файла csv. Но это не удалось со следующим исключением

Не удалось определить ошибку разделителей для правильного файла CSV

>>> import prettytable 
>>> with file("/tmp/test.csv") as f: 
...  prettytable.from_csv(f) 
... 
Traceback (most recent call last): 
    File "<stdin>", line 2, in <module> 
    File "build/bdist.linux-x86_64/egg/prettytable.py", line 1337, in from_csv 
    File "/usr/lib/python2.7/csv.py", line 188, in sniff 
    raise Error, "Could not determine delimiter" 
_csv.Error: Could not determine delimiter 

Файл CSV:

input_gps,1424185824460,1424185902788,1424185939525,1424186019313,1424186058952,1424186133797,1424186168766,1424186170214,1424186246354,1424186298434,1424186376789,1424186413625,1424186491453,1424186606143,1424186719394,1424186756366,1424186835829,1424186948532,1424187107293,1424187215557,1424187250693,1424187323097,1424187358989,1424187465475,1424187475824,1424187476738,1424187548602,1424187549228,1424187550690,1424187582866,1424187584248,1424187639923,1424187641623,1424187774567,1424187776418,1424187810376,1424187820238,1424187820998,1424187916896,1424187917472,1424187919241,1424188048340,dummy-0,dummy-1,Total 
-73.958315%2C 40.815569,0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),13.0 (42%) 
-76.932984%2C 38.992186,0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),1.0(100%),0.0(nan%),1.0(100%),0.0(nan%),1.0(100%),0.0(nan%),0.0(nan%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),1.0(100%),1.0(100%),0.0(nan%),0.0(0%),17.0 (55%) 
null_input-0,0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0 (0%) 
null_input-1,0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(0%),0.0(nan%),0.0(nan%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),0.0(0%),0.0(0%),0.0(nan%),1.0(100%),1.0 (3%) 
Total,0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),0.0(0%),1.0(3%),0.0(0%),0.0(0%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),1.0(3%),0.0(0%),1.0(3%),31.0(100%) 

Если кто-то может сообщить мне, как обход проблемы или других альтернативных альтернатив, это будет очень полезно.

Answer 1

В соответствии с pypi, привлекательным является только альфа-уровень. Я не мог найти, где вы могли бы передать конфигурацию, чтобы перейти к модулю csv. Таким образом, в этом случае, вы, вероятно, следует прочитать файл CSV с помощью явно объявить разделителем, и построить PrettyTable построчно

pt = None # to avoid it vanished at end of block... 
with open('/tmp/test.csv') as fd: 
    rd = csv.reader(fd, delimiter = ',') 
    pt = PrettyTable(next(rd)) 
    for row in rd: 
     pt.add_row(row)