title: Normalize numpy array columns in python
body: <p>I have a numpy array where each cell of a specific row represents a value for a feature. I store all of them in an 100*4 matrix.</p>
  
  <pre><code>A     B   C
  1000  10  0.5
  765   5   0.35
  800   7   0.09  
  </code></pre>
  
  <p>Any idea how I can normalize rows of this numpy.array where each value is between 0 and 1?</p>
  
  <p>My desired output is:</p>
  
  <pre><code>A     B    C
  1     1    1
  0.765 0.5  0.7
  0.8   0.7  0.18(which is 0.09/0.5)
  </code></pre>
  
  <p>Thanks in advance :)</p>