﻿ NumPy: Compute the eigenvalues and right eigenvectors of a given square array - w3resource # 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)
``````

Sample Output:

```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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## 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

Example:

```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 = '_'))
```

Output:

```[['x', 1, True], ['y', 2, False]]
[['x', 1, True], [None, 2, False]]
[['x', 1, True], ['_', 2, False]]
```