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# Matrix product of two arrays in Numpy

To find the matrix product of two arrays, use the **numpy.matmul()** method in Python Numpy. If both arguments are 2-D they are multiplied like conventional matrices. Returns the matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors.

The out is a location into which the result is stored. If provided, it must have a shape that matches the signature (n,k),(k,m)->(n,m). If not provided or None, a freshly-allocated array is returned.

## Steps

At first, import the required library −

import numpy as np

Create two 2D arrays −

arr1 = np.array([[5, 7], [10, 15]]) arr2 = np.array([[11, 12], [19, 20]])

Display the arrays −

print("Array 1...\n", arr1) print("\nArray 2...\n", arr2)

Get the type of the arrays −

print("\nOur Array 1 type...\n", arr1.dtype) print("\nOur Array 2 type...\n", arr2.dtype)

Get the dimensions of the Arrays −

print("\nOur Array 1 Dimensions...\n",arr1.ndim) print("\nOur Array 2 Dimensions...\n",arr2.ndim)

Get the shape of the Arrays −

print("\nOur Array 1 Shape...\n",arr1.shape) print("\nOur Array 2 Shape...\n",arr2.shape)

To find the matrix product of two arrays, use the numpy.matmul() method in Python Numpy. If both arguments are 2-D they are multiplied like conventional matrices −

print("\nResult (matrix product)...\n",np.matmul(arr1, arr2))

## Example

import numpy as np # Create two 2D arrays arr1 = np.array([[5, 7], [10, 15]]) arr2 = np.array([[11, 12], [19, 20]]) # Display the arrays print("Array 1...\n", arr1) print("\nArray 2...\n", arr2) # Get the type of the arrays print("\nOur Array 1 type...\n", arr1.dtype) print("\nOur Array 2 type...\n", arr2.dtype) # Get the dimensions of the Arrays print("\nOur Array 1 Dimensions...\n",arr1.ndim) print("\nOur Array 2 Dimensions...\n",arr2.ndim) # Get the shape of the Arrays print("\nOur Array 1 Shape...\n",arr1.shape) print("\nOur Array 2 Shape...\n",arr2.shape) # To find the matrix product of two arrays, use the numpy.matmul() method in Python Numpy # If both arguments are 2-D they are multiplied like conventional matrices. print("\nResult (matrix product)...\n",np.matmul(arr1, arr2))

## Output

Array 1... [[ 5 7] [10 15]] Array 2... [[11 12] [19 20]] Our Array 1 type... int64 Our Array 2 type... int64 Our Array 1 Dimensions... 2 Our Array 2 Dimensions... 2 Our Array 1 Shape... (2, 2) Our Array 2 Shape... (2, 2) Result (matrix product)... [[188 200] [395 420]]

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