无法使用pandas解析CSV文件

Question

我想要做的是使用 for 循环将大量 csv 文件和 append 解析成一张纸。 但是在解析几个文件后，pandas package 相关的错误不断出现。

for file in files:
   data = pd.read_csv(file,encoding='iso-8859-1')
   print(data)
...    

CSV 文件

Filesystem      Size  Used Avail Use% Mounted on
0          /dev/sda3       192G   24G  168G  13% /
1  /dev/sda1       512M  7.5M  505M   2% /boot/efi
  Filesystem      Size  Used Avail Use% Mounted on
0          /dev/sda1       200G  101G  100G  51% /
1       /dev/sdd1        50G   33M   50G   1% /u03
2        /dev/sdf1       400G   33M  400G   1% /wa
3       /dev/sde1       300G  230G   71G  77% /edi
4       /dev/sdb1        50G   33M   50G   1% /u01
5      /dev/sdg1        50G   11G   37G  22% /swap
6       /dev/sdc1        50G   33M   50G   1% /u02
  Filesystem      Size  Used Avail Use% Mounted on
0          /dev/sda1       200G   15G  186G   8% /
1       /dev/sdb1       300G  195G  106G  65% /u01
2   /dev/sdc1       100G   71G   30G  71% /opt/IBM
  Filesystem      Size  Used Avail Use% Mounted on
0          /dev/sda1       200G   14G  187G   7% /
1   /dev/sdb1       100G   66G   34G  66% /opt/IBM
2       /dev/sdc1       300G  158G  142G  53% /u01
  Filesystem      Size  Used Avail Use% Mounted on
0          /dev/sda1       200G  9.3G  191G   5% /
1       /dev/sdc1       100G   18G   83G  18% /u01
2   /dev/sdb1       150G   49G  102G  33% /opt/IBM

Output 错误

Traceback (most recent call last):
  File "<pyshell#95>", line 2, in <module>
    data = pd.read_csv(file,encoding='iso-8859-1')
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\util\_decorators.py", line 211, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\util\_decorators.py", line 331, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\parsers\readers.py", line 950, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\parsers\readers.py", line 605, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\parsers\readers.py", line 1442, in __init__
    self._engine = self._make_engine(f, self.engine)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\parsers\readers.py", line 1753, in _make_engine
    return mapping[engine](f, **self.options)
  File "C:\Users\102712\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\parsers\c_parser_wrapper.py", line 79, in __init__
    self._reader = parsers.TextReader(src, **kwds)
  File "pandas\_libs\parsers.pyx", line 554, in pandas._libs.parsers.TextReader.__cinit__
pandas.errors.EmptyDataError: No columns to parse from file

到目前为止，我已经尝试在读取 csv 文件时指定编码，但没有任何改变。

到目前为止，我已经尝试在读取 csv 文件时指定编码，因为我发现它是此类问题的最常见原因，但在读取前几个文件后仍然失败。

数据类似于能够解析的前几个文件。

Answer 1

您正在尝试解析一个空文件。

import os
#
#
#
for file in files:
   if os.path.getsize(file) > 0:
       data = pd.read_csv(file,encoding='iso-8859-1')
       print(data)