title: Pandas 0.8 read_csv not recognizing 'dtype' parameter
body: <p>I'm trying to read in a csv file using pandas (0.8.1) using the dtype parameter and am having an error.</p>
  
  <p>My csv file structure looks like this:</p>
  
  <pre><code>"USAF","WBAN","STATION NAME","CTRY","FIPS","STATE","CALL","LAT","LON","ELEV(.1M)","BEGIN","END"
  "006852","99999","SENT","SW","SZ","","","+46817","+010350","+14200","",""
  "007005","99999","CWOS 07005","","","","","-99999","-999999","-99999","20120127","20120127"
  </code></pre>
  
  <p>The reason I need to specify the dtype is because the first two columns <code>USAF</code>,<code>WBAN</code> need to be string since they sometimes start with zeros, and when I read regularly it converts a number like 0006852 into 6852.  Here's the code I'm using:</p>
  
  <pre><code>import pandas as pd
  df = pd.io.parsers.read_csv("Station Codes.csv", dtype={'USAF': np.str, 'WBAN': np.str})
  </code></pre>
  
  <p>results in the following error:</p>
  
  <pre><code>TypeError: read_csv() got an unexpected keyword argument 'dtype'
  </code></pre>
  
  <p>I don't understand why it's saying that its an unexpected keyword argument when I see the documentation here:
  <a href="http://pandas.pydata.org/pandas-docs/dev/generated/pandas.io.parsers.read_csv.html" rel="nofollow noreferrer">http://pandas.pydata.org/pandas-docs/dev/generated/pandas.io.parsers.read_csv.html</a></p>
  
  <p>Am I missing something here?</p>