Question

我试图使用prettytable模块打印出来自csv文件的数据。但它失败了以下异常

无法确定有效csv文件的分隔符错误

>>> 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

CSV文件：

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%)

如果您有人可以告诉我如何解决问题或其他替代方案，那将非常有帮助。

Answer 1

根据pypi，prettytable只是alpha级别。我找不到你可以给它配置传递给csv模块的地方。所以在这种情况下，您可能应该通过明确声明分隔符来读取csv文件，并逐行构建PrettyTable

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)

python prettytable module raise无法确定有效csv文件的分隔符错误

1 个答案: