python - Difference between two numpy arrays in python

Question

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!

Answer 1

这很简单numpy，只需减去数组：

diffs = array1 - array2

我得到：

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

Answer 2

你也可以使用numpy.subtract

与差分运算符相比，它的优势-在于，您不必将序列（列表或元组）转换为numpy 数组- 您保存两个命令：

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

示例：（Python 3.5）

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

这给了你

the difference = [ 0.1  0.2  0.3]

但是请记住，如果您尝试使用-运算符减去序列（列表或元组），您将得到一个错误。在这种情况下，您需要上述命令来转换numpy 数组中的序列

错误代码：

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