Python numpy.diff()用法及代码示例

numpy.diff(arr[, n[, axis]])当我们计算沿给定轴的n-th阶离散离散时，使用函数。沿给定轴的一阶差由out [i] = arr [i + 1]-arr [i]给出。如果必须计算更高的差异，则可以递归使用diff。

Synatx: numpy.diff()

参数:
arr : [array_like] Input array.
n : [int, optional] The number of times values are differenced.
axis : [int, optional] The axis along which the difference is taken, default is the last axis.

返回: [ndarray]The n-th discrete difference. The output is the same as a except along axis where the dimension is smaller by n.

代码1：

# Python program explaining 
# numpy.diff() method 
  
    
# importing numpy 
import numpy as geek  
  
# input array 
arr = geek.array([1, 3, 4, 7, 9]) 
   
print("Input array :", arr) 
print("First order difference :", geek.diff(arr)) 
print("Second order difference:", geek.diff(arr, n = 2)) 
print("Third order difference :", geek.diff(arr, n = 3))

输出：

Input array : [1 3 4 7 9]
First order difference : [2 1 3 2]
Second order difference: [-1  2 -1]
Third order difference : [ 3 -3]

代码2：

# Python program explaining 
# numpy.diff() method 
  
    
# importing numpy 
import numpy as geek  
  
# input array 
arr = geek.array([[1, 2, 3, 5], [4, 6, 7, 9]]) 
   
print("Input array :", arr) 
print("Difference when axis is 0:", geek.diff(arr, axis = 0)) 
print("Difference when axis is 1:", geek.diff(arr, axis = 1))

输出：

Input array : [[1 2 3 5]
 [4 6 7 9]]
Difference with axis 0: [[3 4 4 4]]
Difference with axis 1: [[1 1 2]
 [2 1 2]]

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注：本文由纯净天空筛选整理自sanjoy_62大神的英文原创作品 numpy.diff() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。