title: Advantages of numpy column_stack
body: <p>I have a large amount of data relating to the redshifts and magnitudes of galaxies (29000 of them), which I'll be plotting against each other and performing statistics upon. At the moment, they're in separate lists, so that I can produce graphs such as <a href="https://i.stack.imgur.com/Z7zpW.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Z7zpW.png" alt="enter image description here"></a> which I just threw together as an illustrative example.</p>
  
  <p>I'll eventually need things like regressions and linear fits. Given that there are a lot of points on the graphs (something like 11000), would there be any advantage to stacking the columns into an array with numpy.column_stack? </p>