title: Python Pandas read_csv of Large File causes memory crash
body: <p>I'm trying to read a large CSV file using Pandas. Here are the versions of libraries I'm using:</p>
  
  <p>Pandas '0.14.1'</p>
  
  <p>Numpy  '1.8.1'</p>
  
  <p>The CSV file has the following characteristics:</p>
  
  <p>size: 1.9 GB</p>
  
  <p>lines: 206,074</p>
  
  <p>columns: 9</p>
  
  <p>Using Eclipse to run my code and I get the following error:</p>
  
  <pre><code>filenameALL = 'C:/[path]/OutputALL.csv'
  all    = pd.read_csv(filenameALL, sep='|', index_col=False, skiprows=[0,1,2], header=None, low_memory=False )
  
  "Console already exited with value: -1073741819 while waiting for an answer."
  </code></pre>
  
  <p>Is the issue on my end or is this a Pandas bug?</p>