title: Using Pandas to read in txt file using delimiters creates NaNs columns
body: <p>I am trying to read in a text file into pandas but its creating NaNs for all for all of the rows. I tried to use a delimiter to break up the variables that are separated by a \ but this is not working correctly. Here is what the data file looks like in the text file</p>
  
  <p>Data:</p>
  
  <pre><code>Date         Name          Group    Direction
  2015-01-01  Smith.John      -          In
  2015-01-01  Smith.Jan       Claims     Out
  2015-01-01     -            Claims     In
  2015-01-01  Smith.Jessica   Other      In
  </code></pre>
  
  <p>Here is my first attempt to read in the data:</p>
  
  <pre><code>pd.read_csv('C:\Users\Desktop\skills.txt',
          names=['Date','AgentName','Group','Direction'])
  </code></pre>
  
  <p>However, this produce </p>
  
  <pre><code>    Date    AgentID     AssignedWorkGroup   CallDirection
   0  Date\tAgentID\tAssignedWorkGroup\tCallDire...   NaN     NaN     NaN
   1  2015-09-01\Smith.John\t-\tIn                    NaN     NaN     NaN
  </code></pre>
  
  <p>So I tried to get rid of the \ by doing:</p>
  
  <pre><code> pd.read_csv('C:\Users\Desktop\skills.txt',
           names=['Date','AgentName','Group','Direction'],delimiter='\\')
  </code></pre>
  
  <p>But this still produces the same results. So couple of things. One is that I can't break out the '\'. Additionally, looks like the first row getting read in are the headers. I tried using header=None to get rid of them but that didn't work out too well for me either. It also appears that their is a t (I assume for text?) being place in front of every variable </p>
  
  <p>I feel as though I am approaching this incorrectly</p>