TextReader中文路径问题 (Bug with Chinese characters in file path)
Traceback (most recent call last):
  File "D:\wiki\pandas_test\hello_pandas.py", line 55, in <module>
    tp = pd.read_csv('tmp测试.csv', iterator=True, chunksize=5000)
  File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 401, in parser_f
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00, ..., 2013-01-06 00:00:00]
Length: 6, Freq: D, Timezone: None
    return _read(filepath_or_buffer, kwds)
  File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 209, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 509, in __init__
    self._make_engine(self.engine)
  File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 611, in _make_engine
    self._engine = CParserWrapper(self.f, **self.options)
  File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 893, in __init__
    self._reader = _parser.TextReader(src, **kwds)
  File "parser.pyx", line 312, in pandas._parser.TextReader.__cinit__ (pandas\src\parser.c:2781)
  File "parser.pyx", line 512, in pandas._parser.TextReader._setup_parser_source (pandas\src\parser.c:4813)
IOError: File tmp测试.csv does not exist

code:
tp = pd.read_csv('tmp测试.csv', iterator=True, chunksize=5000)
for i, chunk in enumerate(tp):
    print chunk
t1 = datetime.now()

如下代码则正常:  (the following code works)
tp = pd.read_csv('tmp.csv', iterator=True, chunksize=5000)
for i, chunk in enumerate(tp):
    print chunk
t1 = datetime.now()

如下代码也正常： (the following also works)
tp = pd.read_csv('tmp测试.csv', iterator=True, skip_footer=1, chunksize=5000)
for i, chunk in enumerate(tp):
    print chunk
t1 = datetime.now()

当不加skip_footer时用的是engine='c',这时如果文件名中有中文则会报出如下错误:IOError: File tmp测试.csv does not exist
这应该算一个bug,希望能帮忙解决

(When not using the `skip_footer` parameter, the default engine is 'c'. In that case if there are Chinese characters in the path an exception is raised "IOError: File tmp测试.csv does not exist". This should be considered a bug and I hope you can help solve the issue).
