title: python, weighted linspace
body: <p>can anyone show me what the best way is to generate a (numpy) array containig values from 0 to 100, that is weighted by a (for example) normal distribution function with mean 50 and variance 5. So that there are more 50s and less (nearly no) zeros and hundreds. I think the problem should not be too hard to solve, but I'm stucked somehow...</p>
  
  <p>I thought about something with np.linspace but it seems, that there is no weight option.</p>
  
  <p>So just to be clear: I don't wan't a simple normal distribution from 0 to 100, but something like an array from 0 to 100 with higher density of values in the middle.</p>
  
  <p>Thanks</p>