Compute the determinant of an array in linear algebra in Python

To Compute the determinant of an array in linear algebra, use the np.linalg.det() in Python Numpy. The 1st parameter, a is the input array to compute determinants for. The method returns the determinant.

Steps

At first, import the required libraries -

import numpy as np

Create an array −

arr = np.array([[ 5, 10], [12, 18]])

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 determinant of an array in linear algebra, use the np.linalg.det() in Python Numpy −

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

Example

import numpy as np # Create an array arr = np.array([[ 5, 10], [12, 18]]) # 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 determinant of an array in linear algebra, use the np.linalg.det() in Python Numpy. print("\nResult (determinant)...\n",np.linalg.det(arr))

Output

Our Array... [[ 5 10] [12 18]] Dimensions of our Array... 2 Datatype of our Array object... int64 Shape of our Array object... (2, 2) Result (determinant)... -30.000000000000014