The Python library Numpy provides us with a method called subtract(). We use this to subtract two arrays.
numpy.subtract() methodThe numpy.subtract() method returns the element-wise (element by element) difference between two arrays.
We can create a two-dimensional (2D) array using a list of lists in Python.
numpy.subtract(A, B, dtype=None, out=None)
A: This is the first input array.B: This is the second input array.dtype: This is an optional parameter. It represents the return type of the array.out: This is an optional parameter. It represents the alternative output array where the result is to be placed.Note: If
AandBhave distinct shapes, they must be able to be broadcasted to a common shape for output representation.
The numpy.subtract() method returns the difference between two input arrays, element-wise.
If the out parameter is specified, this method returns an array reference to out.
The following code shows how to use np.subtract() for 2D arrays.
# Import numpy.import numpy as np# Create two 2D arrays.A = np.array([[2,6,5],[3,4,8]])B = np.array([[1,7,2],[10,9,4]])# Find the difference between the 2D arrays.# Store the result in arr_diff.arr_diff = np.subtract(A, B)print(arr_diff)
numpy library.A and B.np.subtract() method to find the difference between the x1 and x2 arrays. The result is stored in a new variable called arr_diff.