title: pandas - expand array to columns
body: <p>I have a column in my pandas dataframe that contains array of numbers:</p>
  <pre><code>index | col
  
  0 |     [106.43477116337492, 6.762679391732501, 0.0, 9...
   
  1 |      [106.43477116337492, 6.58742122158056, 0.0, 9....
  
  2 |    [106.22211427793361, 7.303693743071101, 0.0, 9...
  
  3 |     [106.43477116337492, 7.955196940809838, 0.0, 9...
  
  4 |     [106.43477116337492, 6.400733170766536, 0.0, 9...
  
  One value:
  
  array([106.43477116,   6.76267939,   0.        ,   9.26076567,
          10.78086689, 106.63684122,   5.98865461,   0.        ,
           8.16789259,   9.94066589,   2.03606668,   0.        ,
           0.        ])
  </code></pre>
  <p>I need to expand the values in the array to separate columns so I will have:</p>
  <pre><code>col1 | col2 | col3 ...
  
  106.434... | 6.7526.... | 0.0 ...
  
  106.434... | 6.5874.... | 0.0 ...
  </code></pre>
  <p>How to do this? I already spent quite some time researching on this but only thing I found is <code>explode()</code> which is <strong>not</strong> what I want.</p>