title: How to do trend analysis of two products having four features each and each feature contain an array of 5 values collected at 5 time intervals?
body: <p>I have two products, P1 and P2. Each has four features, namely F1, F2.. and F4.
  I did some simulations at 5 time intervals T = [50, 100, 150, 200, and 250]. So, the features are appended with five values each, just like
  F1 for P1 = [35, 56, 89, 45, 96], F2 for p1 = [0.26,.50,.45,.96,.47] and so on. Similarly, I also got F1 for P2, F2 for P2 etc.
  You see, the values for the features are yet to be normalized.
  Now, how can I do the trend analysis or which graph would be best to visualize the comparative performance of P1 and P2?
  It would be great if someone could suggest to me the technique followed in Python.</p>