NumPy: Compute the determinant of an array
NumPy: Linear Algebra Exercise-11 with Solution
Write a NumPy program to compute the determinant of an array.
From Wikipedia: In linear algebra, the determinant is a value that can be computed from the elements of a square matrix. The determinant of a matrix A is denoted det(A), det A, or |A|. Geometrically, it can be viewed as the scaling factor of the linear transformation described by the matrix.
Sample Solution :
Python Code :
import numpy as np
a = np.array([[1,2],[3,4]])
print("Original array:")
print(a)
result = np.linalg.det(a)
print("Determinant of the said array:")
print(result)
Sample Output:
Original array: [[1 2] [3 4]] Determinant of the said array: -2.0000000000000004
Python-Numpy Code Editor:
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Previous: Write a NumPy program to find a matrix or vector norm.
Next: Write a NumPy program to compute the inverse of a given matrix.
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Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
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