title: Could not broadcast input array from shape (1285) into shape (1285, 5334)
body: <p>I'm trying to follow some example code provided in the <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.svd.html" rel="nofollow">documentation</a> for <code>np.linalg.svd</code> in order to compare term and document similarities following an SVD on a TDM matrix. Here's what I've got:</p>
  
  <pre><code>results_t = np.linalg.svd(tdm_t)
  results_t[1].shape
  </code></pre>
  
  <p>yields</p>
  
  <pre><code>(1285,)
  </code></pre>
  
  <p>Also </p>
  
  <pre><code>results_t[2].shape
  (5334, 5334)
  </code></pre>
  
  <p>So then trying to broadcast these results to create a real <code>S</code> matrix per the classic SVD projection approach, I've got:</p>
  
  <pre><code>S = np.zeros((results_t[0].shape[0], results_t[2].shape[0]), dtype = float)
  S[:results_t[2].shape[0], :results_t[2].shape[0]] = results_t[1]
  </code></pre>
  
  <p>This last line produces the error:</p>
  
  <pre><code>---------------------------------------------------------------------------
  ValueError                                Traceback (most recent call last)
  &lt;ipython-input-329-16e79bc97c4b&gt; in &lt;module&gt;()
  ----&gt; 1 S[:results_t[2].shape[0], :results_t[2].shape[0]] = results_t[1]
  
  ValueError: could not broadcast input array from shape (1285) into shape (1285,5334)
  </code></pre>
  
  <p>What am I doing wrong here?</p>