title: How to get Text from b'Text' in the pandas object type after using read_sas?
body: <p>I'm trying to read the data from .sas7bdat format of SAS using pandas function read_sas:</p>
  
  <pre><code>import pandas as pd
  df = pd.read_sas('D:/input/houses.sas7bdat', format = 'sas7bdat')
  df.head()
  </code></pre>
  
  <p>And I have two data types in the df dataframe - float64 and object. I completely satisfied with the float64 datatype, so I can freely convert it to int, string etc. 
  The problem is with object data type, which I can see in the df dataframe wrapped like this:</p>
  
  <pre><code>b'Text'
  </code></pre>
  
  <p>or like this:</p>
  
  <pre><code>b'12345'
  </code></pre>
  
  <p>instead of </p>
  
  <pre><code>Text
  </code></pre>
  
  <p>or </p>
  
  <pre><code>12345
  </code></pre>
  
  <p>I can't convert it to string or int respectively or to "normal" object data type. Also I can't eleminate b'' using slice or replace technics. So I'm not able to use columns with the object data type. 
  Please, tell me how can I get rid of b''.</p>