分析中带有单双引号的列行图形实验室.SFram

2024-09-30 22:25:52 发布

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我有来自这个数据集(https://raw.githubusercontent.com/alvations/stasis/master/sts.csv)的行:

dataset Domain  Score   Sent1   Sent2
STS2012-gold    surprise.OnWN   5.000   render one language in another language restate (words) from one language into another language.
STS2012-gold    surprise.OnWN   3.250   nations unified by shared interests, history or institutions    a group of nations having common interests.
STS2012-gold    surprise.OnWN   3.250   convert into absorbable substances, (as if) with heat or chemical process   soften or disintegrate by means of chemical action, heat, or moisture.
STS2012-gold    surprise.OnWN   4.000   devote or adapt exclusively to an skill, study, or work devote oneself to a special area of work.
STS2012-gold    surprise.OnWN   3.250   elevated wooden porch of a house    a porch that resembles the deck on a ship.

我已经使用read_csv()函数将其读入graphlab.SFrame

^{pr2}$

还有一些行没有被解析。回溯如下:

PROGRESS: Unable to parse line "STS2012-gold    MSRpar  3.800   "She was crying and scared,' said Isa Yasin, the owner of the store.    "She was crying and she was really scared," said Yasin."
PROGRESS: Unable to parse line "STS2012-gold    MSRpar  2.200   "And about eight to 10 seconds down, I hit. "I was in the water for about eight seconds."
PROGRESS: Unable to parse line "STS2012-gold    MSRpar  2.800   "It's a major victory for Maine, and it's a major victory for other states. The Maine program could be a model for other states."
PROGRESS: Unable to parse line "STS2012-gold    MSRpar  4.000   "Right from the beginning, we didn't want to see anyone take a cut in pay.  But Mr. Crosby told The Associated Press: "Right from the beginning, we didn't want to see anyone take a cut in pay."
PROGRESS: Unable to parse line "STS2014-gold    deft-forum  0.8 "Then the captain was gone. Then the captain came back."
PROGRESS: Unable to parse line "STS2014-gold    deft-forum  1.8 "Oh, you're such a good person! You're such a bad person!""
PROGRESS: Unable to parse line "STS2012-train   MSRpar  3.750   "We put a lot of effort and energy into improving our patching process, probably later than we should have and now we're just gaining incredible speed. "We've put a lot of effort and energy into improving our patching progress, p..."
PROGRESS: Unable to parse line "STS2012-train   MSRpar  4.000   "Tomorrow at the Mission Inn, I have the opportunity to congratulate the governor-elect of the great state of California.   "I have the opportunity to congratulate the governor-elect of the great state of California, and I'm lookin..."
PROGRESS: Unable to parse line "STS2012-train   MSRpar  3.600   "Unlike many early-stage Internet firms, Google is believed to be profitable.   The privately held Google is believed to be profitable."
PROGRESS: Unable to parse line "STS2012-train   MSRpar  4.000   "It was a final test before delivering the missile to the armed forces. State radio said it was the last test before the missile was delivered to the armed forces."
PROGRESS: 22 lines failed to parse correctly
PROGRESS: Finished parsing file /home/alvas/git/stasis/sts.csv
PROGRESS: Parsing completed. Parsed 19075 lines in 0.069578 secs.

看看这几行,如果我的Sent1Sent2列中有一个包含奇数个双引号的问题。在

使用error_bad_lines跟踪有问题的行:

sts = graphlab.SFrame.read_csv('sts.csv', delimiter='\t', column_type_hints=[str, str, float, str, str],
                              error_bad_lines=True)

它会进行回溯:

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-15-a1ec53597af9> in <module>()
      1 sts = graphlab.SFrame.read_csv('sts.csv', delimiter='\t', column_type_hints=[str, str, float, str, str],
----> 2                               error_bad_lines=True)

/usr/local/lib/python2.7/dist-packages/graphlab/data_structures/sframe.pyc in read_csv(cls, url, delimiter, header, error_bad_lines, comment_char, escape_char, double_quote, quote_char, skip_initial_space, column_type_hints, na_values, line_terminator, usecols, nrows, skiprows, verbose, **kwargs)
   1537                                   verbose=verbose,
   1538                                   store_errors=False,
-> 1539                                   **kwargs)[0]
   1540 
   1541 

/usr/local/lib/python2.7/dist-packages/graphlab/data_structures/sframe.pyc in _read_csv_impl(cls, url, delimiter, header, error_bad_lines, comment_char, escape_char, double_quote, quote_char, skip_initial_space, column_type_hints, na_values, line_terminator, usecols, nrows, skiprows, verbose, store_errors, **kwargs)
   1097                 glconnect.get_client().set_log_progress(False)
   1098             with cython_context():
-> 1099                 errors = proxy.load_from_csvs(internal_url, parsing_config, type_hints)
   1100         except Exception as e:
   1101             if type(e) == RuntimeError and "CSV parsing cancelled" in e.message:

/usr/local/lib/python2.7/dist-packages/graphlab/cython/context.pyc in __exit__(self, exc_type, exc_value, traceback)
     47             if not self.show_cython_trace:
     48                 # To hide cython trace, we re-raise from here
---> 49                 raise exc_type(exc_value)
     50             else:
     51                 # To show the full trace, we do nothing and let exception propagate

RuntimeError: Runtime Exception. Unable to parse line "STS2012-gold MSRpar  3.800   "She was crying and scared,' said Isa Yasin, the owner of the store.    "She was crying and she was really scared," said Yasin."
Set error_bad_lines=False to skip bad lines

如果我的行包含奇数个双引号,有没有办法解决这个问题?

是否有一种方法可以在不清理数据的情况下完成这项工作(例如,识别有问题的行,然后清理/更正它们,但保留另一个SFrame来跟踪清理/更正?


作为一个健全性检查,如果我们在原始csv文件中搜索\t,那么行中会有一个选项卡给出问题,但是当graphlab解析它时,它就会消失:

enter image description here


作为另一个健全性检查,逐行读取文件并按\t拆分,将为整个文件返回5列:

alvas@ubi:~/git/stasis$ head sts.csv 
Dataset Domain  Score   Sent1   Sent2
STS2012-gold    surprise.OnWN   5.000   render one language in another language restate (words) from one language into another language.
STS2012-gold    surprise.OnWN   3.250   nations unified by shared interests, history or institutions    a group of nations having common interests.
STS2012-gold    surprise.OnWN   3.250   convert into absorbable substances, (as if) with heat or chemical process   soften or disintegrate by means of chemical action, heat, or moisture.
STS2012-gold    surprise.OnWN   4.000   devote or adapt exclusively to an skill, study, or work devote oneself to a special area of work.
STS2012-gold    surprise.OnWN   3.250   elevated wooden porch of a house    a porch that resembles the deck on a ship.
STS2012-gold    surprise.OnWN   4.000   either half of an archery bow   either of the two halves of a bow from handle to tip.
STS2012-gold    surprise.OnWN   3.333   a removable device that is an accessory to larger object    a supplementary part or accessory.
STS2012-gold    surprise.OnWN   4.750   restrict or confine place limits on (extent or access).
STS2012-gold    surprise.OnWN   0.500   orient, be positioned   be opposite.
alvas@ubi:~/git/stasis$ python
Python 2.7.10 (default, Jun 30 2015, 15:30:23) 
[GCC 4.8.4] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> with open('sts.csv') as fin:
...     for line in fin:
...             print len(line.split('\t'))
...             break
... 
5

>>> with open('sts.csv') as fin:
...     for line in fin:
...             assert len(line.split('\t')) == 5
... 
>>> 

在我的版本graphlab中,对4列行的@papayawarrior示例进行了正确的解析:

enter image description here


我手动检查了有问题的线路,它们是:

STS2012-gold    MSRpar  3.800   "She was crying and scared,' said Isa Yasin, the owner of the store.    "She was crying and she was really scared," said Yasin.
STS2012-gold    MSRpar  2.200   "And about eight to 10 seconds down, I hit. "I was in the water for about eight seconds.
STS2012-gold    MSRpar  2.800   "It's a major victory for Maine, and it's a major victory for other states. The Maine program could be a model for other states.
STS2012-gold    MSRpar  4.000   "Right from the beginning, we didn't want to see anyone take a cut in pay.  But Mr. Crosby told The Associated Press: "Right from the beginning, we didn't want to see anyone take a cut in pay.
STS2012-train   MSRpar  3.750   "We put a lot of effort and energy into improving our patching process, probably later than we should have and now we're just gaining incredible speed. "We've put a lot of effort and energy into improving our patching progress, probably later than we should have.
STS2012-train   MSRpar  4.000   "Tomorrow at the Mission Inn, I have the opportunity to congratulate the governor-elect of the great state of California.   "I have the opportunity to congratulate the governor-elect of the great state of California, and I'm looking forward to it."
STS2012-train   MSRpar  3.600   "Unlike many early-stage Internet firms, Google is believed to be profitable.   The privately held Google is believed to be profitable.
STS2012-train   MSRpar  4.000   "It was a final test before delivering the missile to the armed forces. State radio said it was the last test before the missile was delivered to the armed forces.
STS2012-train   MSRpar  4.750   "The economy, nonetheless, has yet to exhibit sustainable growth.   But the economy hasn't shown signs of sustainable growth.
STS2014-gold    deft-forum  0.8 "Then the captain was gone. Then the captain came back.
STS2014-gold    deft-forum  1.8 "Oh, you're such a good person! You're such a bad person!"
STS2015-gold    answers-forums      "Normal, healthy (physically, nutritionally and mentally) individuals have little reason to worry about accidentally consuming too much water.  It's fine to skip arm specific exercises if you are already happy with how they are progressing without direct exercises.
STS2015-gold    answers-forums  1.40    "The grass family is one of the most widely distributed and abundant groups of plants on Earth. As noted on the Wiki page, grass seed was imported to the new world to improve pasturage for livestock.
STS2015-gold    answers-forums      "God is exactly this Substance underlying who supports, exist independently of, and persist through time changes in material nature.    I'd argue that matter and energy are substances in the category of empirical scientific knowledge.
STS2015-gold    belief      "watching the first fight i saw that manny pacquiao was getting tired, and i wasn't.    at the same time, an asian summit is being held in a tourist resort.
STS2015-gold    belief      "global warming doesn't mean every year will be warmer than the last.   doesn't matter, that will just be obama's fault as well.
STS2015-gold    belief      "the only reason i'm not as confident that there's something about the birth certificate... the conventional view is that the us and ussr fought it out in the body of vietnam.
STS2015-gold    belief      "im not playing these bullshit games... if not get the hell out of there.
STS2015-gold    belief      "that oil is already contaminating our shoreline.   what point are you trying to relay?
STS2015-gold    belief      "we cannot write history with laws. "she's not sitting here" he said.
STS2015-gold    belief      the protest is going well so far.   our request is the same.
STS2015-gold    belief      "for over 20 years, i have illustrated the absurd with absurdity, three hours a day, five days a week.  for the first 1-2 years he hated me going out with my friends.

不是通过反复从PROGRESS: ...详细消息中清除这些行来手动查找这些行,是否有一种方法可以在将这些行加载到Graphlab SFrame时将其转储出去?


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1楼 · 发布于 2024-09-30 22:25:52

更新答案

向@alvas道歉,我没有看到原始帖子中有完整的数据集链接。在所有的行中确实有五列,问题似乎是引号不匹配。如果列中没有匹配的引号,SFrameCSV解析器会感到困惑,因此简单的答案是将引号字符更改为数据集中没有出现的字符。在

import graphlab
sts = graphlab.SFrame.read_csv('sts.csv', delimiter='\t',
                                column_type_hints=[str, str, float, str, str],
                                quote_char='\0')

这为我成功地读取了19097行。在

另外,还有一个SFrame.read_csv_with_errors方法,它将把“好”行读入SFrame,并在未解析的SArray中收集“坏”行。这样就可以用编程的方式跟踪有问题的行。在

原始答案

您的数据行似乎不包含任何引号,因此这不是问题所在。问题是在某些数据行(和标题)中有5列,而在其他数据行中只有4列。在

第一行有四列:

^{pr2}$

第二排有五个:

STS2012-gold    surprise.OnWN   3.250   nations unified by shared interests, history or institutions    a group of nations having common interests.

为了解决这个问题,我将调用SFramecsv解析器两次,一次用于四列数据,一次用于五列数据。因为第一个fow有四个列,所以这一列更简单:

import graphlab
sts4 = graphlab.SFrame.read_csv('sts.csv', delimiter='\t', header=True)

对于五列数据,我们必须跳过标题和第一行,然后重命名列:

sts5 = graphlab.SFrame.read_csv('sts.csv', delimiter='\t', 
                                header=False, skiprows=2)
sts5 = sts5.rename({'X1': 'Dataset', 'X2': 'Domain', 'X3': 'Score',
                    'X4': 'Sent1', 'X5': 'Sent2'})

那么sts4看起来像

+       +       -+   -+               -+
|   Dataset    |     Domain    | Score |             Sent1             |
+       +       -+   -+               -+
| STS2012-gold | surprise.OnWN |  5.0  | render one language in ano... |
| STS2012-gold | surprise.OnWN |  4.0  | devote or adapt exclusivel... |
+       +       -+   -+               -+

并且sts5

+       +       -+   -+               -+
|   Dataset    |     Domain    | Score |             Sent1             |
+       +       -+   -+               -+
| STS2012-gold | surprise.OnWN |  3.25 | nations unified by shared ... |
| STS2012-gold | surprise.OnWN |  3.25 | convert into absorbable su... |
| STS2012-gold | surprise.OnWN |  3.25 | elevated wooden porch of a... |
+       +       -+   -+               -+
+               -+
|             Sent2             |
+               -+
| a group of nations having ... |
| soften or disintegrate by ... |
| a porch that resembles the... |
+               -+

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