如何使用 NumPy
计算数组中相邻元素之间的差异
原文:https://www . geeksforgeeks . org/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。
所以，我们可以利用 numpy 库的 numpy.diff() 功能找出相邻元素的区别。
语法: numpy.diff(arr，n，axis)
现在，让我们看一个例子:
例 1:
Python 3
# 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]
例 2:
Python 3
# 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]]
例 3:
Python 3
# 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]]
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