Syntax error Compute the multiplicative inverse of more than one matrix at once in Python

Compute the multiplicative inverse of more than one matrix at once in Python

To compute the (multiplicative) inverse of a matrix, use the numpy.linalg.inv() method in Python. Given a square matrix a, return the matrix ainv satisfying dot(a, ainv) = dot(ainv, a) = eye(a.shape[0]). The method returns (Multiplicative) inverse of the matrix a. The 1st parameter, a is a Matrix to be inverted.

Steps

At first, import the required libraries-

import numpy as np
from numpy.linalg import inv

Create several matrices using array() −

arr = np.array([[[1., 2.], [3., 4.]], [[1, 3], [3, 5]]])

Display the array −

print("Our Array...\n",arr)

Check the Dimensions −

print("\nDimensions of our Array...\n",arr.ndim)

Get the Datatype −

print("\nDatatype of our Array object...\n",arr.dtype)

Get the Shape −

print("\nShape of our Array object...\n",arr.shape)

To compute the (multiplicative) inverse of a matrix, use the numpy.linalg.inv() method in Python −

print("\nResult...\n",np.linalg.inv(arr))

Example

import numpy as np
from numpy.linalg import inv

# Create several matrices using array()
arr = np.array([[[1., 2.], [3., 4.]], [[1, 3], [3, 5]]])

# Display the array
print("Our Array...\n",arr)

# Check the Dimensions
print("\nDimensions of our Array...\n",arr.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",arr.dtype)

# Get the Shape
print("\nShape of our Array object...\n",arr.shape)

# To compute the (multiplicative) inverse of a matrix, use the numpy.linalg.inv() method in Python.
print("\nResult...\n",np.linalg.inv(arr))

Output

Our Array...
[[[1. 2.]
[3. 4.]]

[[1. 3.]
[3. 5.]]]

Dimensions of our Array...
3

Datatype of our Array object...
float64

Shape of our Array object...
(2, 2, 2)

Result...
[[[-2. 1. ]
[ 1.5 -0.5 ]]

[[-1.25 0.75]
[ 0.75 -0.25]]]
Updated on: 2022-02-25T07:10:47+05:30

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