# 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

Updated on: 25-Feb-2022

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