title: Concatenating Arrays of Float Values in Python
body: <p>I have two tables that each contain columns of latitude and longitude coordinates (thus they're all floats), so four columns all day. 
  My first goal was to concatenate the respective columns together so as to have just one table, with two longer columns containing everything.</p>
  
  <p>Bear with me, I'm not using pandas, but essentially a dumbed-down module called datascience.</p>
  
  <p>Attempt one looks like</p>
  
  <pre><code>test_list = np.concatenate(airbnb.column('latitude'), stations.column('latitude'))
  </code></pre>
  
  <p>but I get back <code>TypeError</code></p>
  
  <blockquote>
  <pre><code>Traceback (most recent call last)
   &lt;ipython-input-27-8a5f584e9d8f&gt; in &lt;module&gt;
   ----&gt; 1 test_list = np.concatenate(airbnb.column('latitude'), stations.column('latitude'))
   &lt;__array_function__ internals&gt; in concatenate(*args, **kwargs)
  TypeError: only integer scalar arrays can be converted to a scalar index
  </code></pre>
  </blockquote>
  
  <p>any suggestions?</p>