The numpy.diff() function in NumPy is used to compute the nth difference along the given axis of an input array.
For example, for an input array:
a = [n1, n2, n3, n4, n5]
numpy.diff(x) = [n2-n1, n3-n2, n4-n3, n5-n4]
numpy.diff(a, n=1, axis=-1, prepend=<no value>, append=<no value>)
The numpy.diff() function takes the following parameter values:
a: This is the input array and is a required parameter.n: This is the number of times the difference value is taken and is an optional parameter.axis: This is the given axis over which the difference is taken and is an optional parameter.preprend, append: These are the values to prepend or append to the input array, a, along the axis before performing the difference. This is an optional parameter.The numpy.diff() function returns an array containing the nth differences of the input array elements.
import numpy as np# creating an arraya = np.array([1, 2, 3, 4, 5])# Implementing the numpy.diff() functionmyarray = np.diff(a, axis=0)print(a)print(myarray)
numpy module.a, using the array() method.numpy.diff() function on the array. The result is assigned to a variable, myarray.a.myarray.Note: From the output of the code, the working is given as
numpy.diff(a) = [2-1, 3-2, 4-3, 5-4] = [1, 1, 1, 1].