title: How to find the difference between two matrices in Python with the result should not have any values with minus sign
body: <p>I have a Panda Dataframe with two columns (Word and Word_Position) in it. I need to find the distance between words and present the output in matrix form for better readability.</p>
  
  <p><strong>What I have done so far is I have created a row matrix from the DF.Word_Position column and transposed it to create a column matrix. When I subtracted both these matrices, I am getting few values with minus sign before them.</strong> </p>
  
  <p>With all due respect to the great mathematics, this is absolutely correct but for my requirement I just need the number and not the minus sign.</p>
  
  <p>Is there any other better way to do the same ? Appreciating your help. Thanks in advance.</p>
  
  <p><strong><em>Note : I am using Python 3.6</em></strong></p>
  
  <p><strong>Code snippets and its corresponding output for your reference</strong></p>
  
  <pre><code>m1 = np.matrix(df1['Word Position'])
  print(m1)
  [[ 1  2  3 ..., 19 20 21]]
  
  m2 = np.matrix(m1.T)
  print(m2)
  [[ 1]
   [ 2]
   [ 3]
   ..., 
   [19]
   [20]
   [21]]
  
  print(m2-m1)
  [[  0  -1  -2 ..., -18 -19 -20]
   [  1   0  -1 ..., -17 -18 -19]
   [  2   1   0 ..., -16 -17 -18]
   ..., 
   [ 18  17  16 ...,   0  -1  -2]
   [ 19  18  17 ...,   1   0  -1]
   [ 20  19  18 ...,   2   1   0]]
  </code></pre>