如何使用 NumPy 计算数组中相邻元素之间的差异

让我们看看如何使用 NumPy 库计算数组中相邻元素之间的差异。

因此，我们可以使用 NumPy 库的numpy.diff()函数找出相邻元素之间的差异。

Syntax: numpy.diff(arr, n, axis)

现在，让我们看一个例子：

示例 1：

Python3

# import library
import numpy as np
  
# create a numpy 1d-array
arr = np.array([1, 12, 3, 14, 5,
              16, 7, 18, 9, 110])
  
# finding the difference between
# neighboring elements
result = np.diff(arr)
  
print(result)

输出：

[ 11  -9  11  -9  11  -9  11  -9 101]

示例 2：

Python3

# import library
import numpy as np
  
# create a numpy 2d-array
arr = np.array([[10, 12, 14], 
                [25, 35, 45],
                [12, 18, 20]])
  
# finding the difference between
# neighboring elements along row
result = np.diff(arr, axis = 1)
  
print(result)

输出：

[[ 2  2]
[10 10]
[ 6  2]]

示例 3：

Python3

# import library
import numpy as np
  
# create a numpy 2d-array
arr = np.array([[10, 12, 14], 
                [25, 35, 45],
                [12, 18, 20]])
  
# finding the difference between
# neighboring elements along column
result = np.diff(arr, axis = 0)
  
print(result)

输出：

[[ 15  23  31]
[-13 -17 -25]]