How to get Text from b'Text' in the pandas object type after using read_sas?
<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>