title: Getting "OverflowError: int too big to convert" while reading sas file into pandas dataFrame
body: <p>I am trying to load the   "x.sas7bdat"  file using pandas read. (Python 3)</p>
  
  <pre><code>import pandas as pd
  x_df = pd.read_sas(r"x.sas7bdat")
  </code></pre>
  
  <p>I am getting the following error.</p>
  
  <blockquote>
    <p>"OverflowError: int too big to convert"</p>
  </blockquote>
  
  <p>I tired to read the same file in binary format.</p>
  
  <pre><code>f=(r"x.sas7bdat", 'rb')
  </code></pre>
  
  <p>I am not getting any error.</p>
  
  <p>I have tried </p>
  
  <blockquote>
    <p>('utf-8', 'Latin1', 'cp1252')</p>
  </blockquote>
  
  <p>encoding while reading into the pandas data frame.All are giving the same error</p>
  
  <blockquote>
    <p>"Int too big to convert "
    error.</p>
  </blockquote>
  
  <p>Is there a way to find where particular in data this problem is arising ?
  Any  fix or way around for this problem ?</p>