Let’s see how to calculate the difference between neighboring elements in an array using NumPy library.
So, We can find out the difference between neighboring elements using numpy.diff() function of NumPy library.
Syntax: numpy.diff(arr, n, axis)
Now, let’s see an example:
Example 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) |
Output:
[ 11 -9 11 -9 11 -9 11 -9 101]
Example 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) |
Output:
[[ 2 2] [10 10] [ 6 2]]
Example 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) |
Output:
[[ 15 23 31] [-13 -17 -25]]
