Array Math

You can perform array math very easily on NumPy arrays. Consider the following two rank 2 arrays:

x1 = np.array([[1,2,3],[4,5,6]])
y1 = np.array([[7,8,9],[2,3,4]]) 

To add these two arrays together, you use the + operator as follows:

print(x1 + y1) 

The result is the addition of each individual element in the two arrays:

[[ 8 10 12]
 [ 6  8 10]] 

Array math is important, as it can be used to perform vector calculations. A good example is as follows:

x = np.array([2,3])
y = np.array([4,2])
z = x + y
'''
[6 5]
''' 

Figure 2.5 shows the use of arrays to represent vectors and uses array addition to perform vector addition.

Figure 2.5: Using array addition for vector addition

Besides using the + operator, you can also use the np.add() function to add two arrays:

np.add(x1,y1) 

Apart from addition, you can also perform subtraction, multiplication, as well as division with NumPy arrays:

print(x1 - y1)     # same as np.subtract(x1,y1)
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