Compute the determinant of an array in linear algebra in Python

PythonNumpyServer Side ProgrammingProgramming

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
raja
Updated on 25-Feb-2022 06:10:14

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