Question

import pandas as pd
from pathlib import Path


Drugs = ['ARTHROTEC', 'CAMBIA', 'CATAFLAM', 'DICLOFENAC-POTASSIUM', 'DICLOFENAC-SODIUM',
         'FLECTOR', 'LIPITOR', 'PENNSAID', 'SOLARAZE', 'VOLTAREN', 'VOLTAREN-XR', 'ZIPSOR']
def extract_Tags(drug):
    Files = Path('E:/TM/Final/CADEC/original').glob(drug+'*.ann')
    for file in Files:
        try:
            data = pd.read_csv(file, sep='\t', header=None)
        except:
            print('Cannot open ', file)
    print(drug, '\n')

我在一个目录下有很多 .ann 文件，每个标题都以药物名称开头。我试图通过 pandas.read_csv() 从他们那里读入数据。但是，有些文件可以打开，有些则不能。我得到了我得到的，我不知道如何检查那些无法打开的文件出了什么问题。我应该使用其他命令打开它们吗？

for drug in Drugs:
    extract_Tags(drug)

ARTHROTEC 

Cannot open  E:\TM\Final\CADEC\original\CAMBIA.1.ann
CAMBIA 

CATAFLAM 

DICLOFENAC-POTASSIUM 

DICLOFENAC-SODIUM 

FLECTOR 

Cannot open  E:\TM\Final\CADEC\original\LIPITOR.197.ann
Cannot open  E:\TM\Final\CADEC\original\LIPITOR.243.ann
Cannot open  E:\TM\Final\CADEC\original\LIPITOR.28.ann
...
Cannot open  E:\TM\Final\CADEC\original\LIPITOR.964.ann
LIPITOR 

Cannot open  E:\TM\Final\CADEC\original\PENNSAID.2.ann
PENNSAID 

Cannot open  E:\TM\Final\CADEC\original\SOLARAZE.1.ann
Cannot open  E:\TM\Final\CADEC\original\SOLARAZE.3.ann
SOLARAZE 

Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.11.ann
Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.13.ann
Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.4.ann
...
VOLTAREN 

Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.11.ann
Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.13.ann
Cannot open  E:\TM\Final\CADEC\original\VOLTAREN-XR.4.ann
...
VOLTAREN-XR 

ZIPSOR

如果我尝试打开其中一个特定文件，它会返回“没有要从文件解析的列”，我不太明白。如何确定数据文件是否损坏或我应该以其他方式处理？顺便说一句，因为这是一个基准数据集，我发现文件构建不当很奇怪。

pd.read_csv("E:\TM\Final\CADEC\original\LIPITOR.197.ann", sep='\t', header=None)


---------------------------------------------------------------------------
EmptyDataError                            Traceback (most recent call last)
<ipython-input-4-8f6a7735c992> in <module>
      1 # check one of the unopenable files
----> 2 pd.read_csv("E:\TM\Final\CADEC\original\LIPITOR.197.ann", sep='\t', header=None)

d:\python\lib\site-packages\pandas\io\parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
    674         )
    675 
--> 676         return _read(filepath_or_buffer, kwds)
    677 
    678     parser_f.__name__ = name

d:\python\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    446 
    447     # Create the parser.
--> 448     parser = TextFileReader(fp_or_buf, **kwds)
    449 
    450     if chunksize or iterator:

d:\python\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
    878             self.options["has_index_names"] = kwds["has_index_names"]
    879 
--> 880         self._make_engine(self.engine)
    881 
    882     def close(self):

d:\python\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
   1112     def _make_engine(self, engine="c"):
   1113         if engine == "c":
-> 1114             self._engine = CParserWrapper(self.f, **self.options)
   1115         else:
   1116             if engine == "python":

d:\python\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
   1889         kwds["usecols"] = self.usecols
   1890 
-> 1891         self._reader = parsers.TextReader(src, **kwds)
   1892         self.unnamed_cols = self._reader.unnamed_cols
   1893 

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

EmptyDataError: No columns to parse from file

为什么我不能通过 `pandas.read_csv()` 打开一些 .ann 文件？

0 个答案: