﻿ 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

Negative Indexing:

In Python you can use negative indexing. While positive index starts with 0, negative index starts with -1.

```name="Welcome"
print(name[0])
print(name[-1])
print(name[0:3])
print(name[-1:-4:-1])

```

Output:

```W
e
Wel
emo```