title: Pandas: transform a dbf Table into a dataframe
body: <p>I want to read a <code>dbf</code> file of an ArcGIS shapefile and dump it into a <code>pandas</code> dataframe. I am currently using the <a href="https://pypi.python.org/pypi/dbf" rel="noreferrer"><strong>dbf</strong></a> package.</p>
  
  <p>I have apparently been able to load the <code>dbf</code> file as a Table, but have not been able to figure out how to parse it and turn it into a pandas dataframe. <strong>What is the way to do it?</strong></p>
  
  <p>This is where I am stuck at:</p>
  
  <pre><code>import dbf
  thisTable = dbf.Table('C:\\Users\\myfolder\\project\\myfile.dbf')
  thisTable.open(mode='read-only')
  </code></pre>
  
  <p>Python returns this statement as output, which I frankly don't know what to make of:</p>
  
  <p><code>dbf.ver_2.Table('C:\\Users\\myfolder\\project\\myfile.dbf', status='read-only')</code></p>
  
  <hr>
  
  <p>EDIT</p>
  
  <p>Sample of my original <code>dbf</code>:</p>
  
  <pre><code>FID   Shape    E              N
  0     Point    90089.518711   -201738.245555
  1     Point    93961.324059   -200676.766517
  2     Point    97836.321204   -199614.270439
  ...   ...      ...            ...
  </code></pre>