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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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