title: FileNotFoundError during importing a csv file using pandas, Jupyter notebook and Windows7
body: <p>I try to learn programming and currently fail to read a csv-file into a Jupyter notebook. This is what my code looks like and the response to it:</p>
  
  <pre><code>In [1]: import pandas as pd
  
  In [2]: pwd
  
  Out [2]: 'C:\\Users\\Stefan'
  
  In [3]: cd C:\\Program Files (x86)\\Hobby\\Geron_Geld
  
  In [4]: pwd
  
  Out [4]: 'C:\\Program Files (x86)\\Hobby\\Geron_Geld'
  
  In [5]: pd.read_csv('oecd_bli_2015.csv')
  </code></pre>
  
  <p>And this is the response:</p>
  
  <pre><code>---------------------------------------------------------------------------
  FileNotFoundError                         Traceback (most recent call last)
  &lt;ipython-input-7-daa5a9ab604d&gt; in &lt;module&gt;
  ----&gt; 1 pd.read_csv('oecd_bli_2015.csv')
  
  ~\Anaconda3\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, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
      676                     skip_blank_lines=skip_blank_lines)
      677 
  --&gt; 678         return _read(filepath_or_buffer, kwds)
      679 
      680     parser_f.__name__ = name
  
  ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
      438 
      439     # Create the parser.
  --&gt; 440     parser = TextFileReader(filepath_or_buffer, **kwds)
      441 
      442     if chunksize or iterator:
  
  ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
      785             self.options['has_index_names'] = kwds['has_index_names']
      786 
  --&gt; 787         self._make_engine(self.engine)
      788 
      789     def close(self):
  
  ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
     1012     def _make_engine(self, engine='c'):
     1013         if engine == 'c':
  -&gt; 1014             self._engine = CParserWrapper(self.f, **self.options)
     1015         else:
     1016             if engine == 'python':
  
  ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
     1706         kwds['usecols'] = self.usecols
     1707 
  -&gt; 1708         self._reader = parsers.TextReader(src, **kwds)
     1709 
     1710         passed_names = self.names is None
  
  pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
  
  pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
  
  FileNotFoundError: File b'oecd_bli_2015.csv' does not exist
  </code></pre>
  
  <h1>============================================</h1>
  
  <ul>
  <li><p>I already tried to use several parameters for pd.read_csv.</p></li>
  <li><p>The folder and the file exist and also the file format is correct.</p></li>
  <li><p>I also watched several Youtube videos about the normal procedure for this and tried all variants I found, none worked</p></li>
  <li><p>The following code (from another task I tried to do) works if Notepad++ is used for programming:</p></li>
  </ul>
  
  <p><code>
  training_data_file = open("C:\Program Files (x86)\Hobby\Picture recognition\mnist_train.csv", 'r')
  training_data_list = training_data_file.readlines()
  training_data_file.close()
  </code></p>
  
  <p>If I use the same code in the Jupyter notebook the file will not be found again. However, I would like to practice with Jupyter notebooks/generally with programming.</p>
  
  <p>It would be great if someone could please give me a hint why I can't find a way to display a csv file in a Jupyter notebook so that i can work with its data afterwards... Thank you</p>
  
  <p>(My OS is Windows7)</p>
  
  <p><a href="https://i.stack.imgur.com/yy37Y.jpg" rel="nofollow noreferrer">Image with both opened csv files</a></p>