NumPy: Compute the eigenvalues and right eigenvectors of a given square array
NumPy: Linear Algebra Exercise-7 with Solution
Write a NumPy program to compute the eigenvalues and right eigenvectors of a given square array.
Sample Solution :
Python Code :
import numpy as np m = np.mat("3 -2;1 0") print("Original matrix:") print("a\n", m) w, v = np.linalg.eig(m) print( "Eigenvalues of the said matrix",w) print( "Eigenvectors of the said matrix",v)
Original matrix: a [[ 3 -2] [ 1 0]] Eigenvalues of the said matrix [ 2. 1.] Eigenvectors of the said matrix [[ 0.89442719 0.70710678] [ 0.4472136 0.70710678]]
Python Code Editor:
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Previous: Write a NumPy program to compute the inner product of vectors for 1-D arrays (without complex conjugation) and in higher dimension.
Next: Write a NumPy program to compute the Kronecker product of two given mulitdimension arrays.
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Python: Tips of the Day
Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions
def tips_merge(*args, fill_value=None): max_length = max([len(lst) for lst in args]) result =  for i in range(max_length): result.append([ args[k][i] if i < len(args[k]) else fill_value for k in range(len(args)) ]) return result print(tips_merge(['x', 'y'], [1, 2], [True, False])) print(tips_merge(['x'], [1, 2], [True, False])) print(tips_merge(['x'], [1, 2], [True, False], fill_value = '_'))
[['x', 1, True], ['y', 2, False]] [['x', 1, True], [None, 2, False]] [['x', 1, True], ['_', 2, False]]
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