Time for action – dividing arrays

Let's see the array division in action:

1. The divide function does truncate integer division and normal floating-point division:

   a = np.array([2, 6, 5])
   b = np.array([1, 2, 3])
   print "Divide", np.divide(a, b), np.divide(b, a)

   The result of the divide function is shown as follows:

   Divide [2 3 1] [0 0 0]
   

   As you can see, truncation took place.

2. The true_divide function comes closer to the mathematical definition of division. Integer division returns a floating-point result and no truncation occurs:

   print "True Divide", np.true_divide(a, b), np.true_divide(b, a)

   The result of the true_divide function is as follows:

   True Divide [ 2.          3.          1.66666667] [ 0.5        0.33333333  0.6       ]
   

3. The floor_divide function always returns an integer result. It is equivalent to calling the floor function after calling the divide function. The floor function discards the decimal part of a floating-point number and returns an integer:

   print "Floor Divide", np.floor_divide...