Difference between two numpy arrays in python

I have two arrays, for example:

array1=numpy.array([1.1, 2.2, 3.3])
array2=numpy.array([1, 2, 3])

How can I find the difference between these two arrays in Python, to give:

[0.1, 0.2, 0.3]

As an array as well?

Sorry if this is an amateur question - but any help would be greatly appreciated!

2 Answers

This is pretty simple with numpy, just subtract the arrays:

diffs = array1 - array2

I get:

diffs == array([ 0.1, 0.2, 0.3])

You can also use numpy.subtract

It has the advantage over the difference operator, -, that you do not have to transform the sequences (list or tuples) into a numpy arrays — you save the two commands:

array1 = np.array([1.1, 2.2, 3.3])
array2 = np.array([1, 2, 3])

Example: (Python 3.5)

import numpy as np
result = np.subtract([1.1, 2.2, 3.3], [1, 2, 3])
print ('the difference =', result)

which gives you

the difference = [ 0.1 0.2 0.3]

Remember, however, that if you try to subtract sequences (lists or tuples) with the - operator you will get an error. In this case, you need the above commands to transform the sequences in numpy arrays

Wrong Code:

print([1.1, 2.2, 3.3] - [1, 2, 3])