title: Column wise concatenation of two dataframes
body: <p>I'm a beginner in both Python and Pandas module. I'm working on a statistics problem in which I want to merge two dataframes with specific styles.</p>
  
  <p>Here is my 1st dataframe for the mean values:</p>
  
  <pre><code>- 5.006 3.418   1.464   0.244
   - 5.936    2.770   4.260   1.326
   - 6.588    2.974   5.552   2.026
  </code></pre>
  
  <p>And then is the 2nd dataframe for the std values:</p>
  
  <pre><code> - 0.352490 0.381024    0.173511    0.107210
   - 0.516171 0.313798    0.469911    0.197753
   - 0.635880 0.322497    0.551895    0.274650
  </code></pre>
  
  <p>So are there any ways to merge the two dataframes so the final output would look like "mean"±"std"? such as "5.006 ± 0.352490"?</p>
  
  <p>Thank you!</p>