﻿ NumPy: Normalize a 3x3 random matrix - w3resource # NumPy: Normalize a 3x3 random matrix

## NumPy: Random Exercise-7 with Solution

Write a NumPy program to normalize a 3x3 random matrix.

Sample Solution:

Python Code :

``````import numpy as np
x= np.random.random((3,3))
print("Original Array:")
print(x)
xmax, xmin = x.max(), x.min()
x = (x - xmin)/(xmax - xmin)
print("After normalization:")
print(x)
``````

Sample Output:

```Original Array:
[[ 0.89372503  0.99865458  0.77120044]
[ 0.67632984  0.99990084  0.64110391]
[ 0.34845794  0.66557903  0.29031742]]
After normalization:
[[ 0.85036881  0.99824367  0.67769765]
[ 0.54399864  1.          0.49435553]
[ 0.08193614  0.52884777  0.        ]]
```

Pictorial Presentation: Python-Numpy Code Editor:

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## Python: Tips of the Day

Clamps num within the inclusive range specified by the boundary values x and y:

Example:

```def tips_clamp_num(num,x,y):
return max(min(num, max(x, y)), min(x, y))
print(tips_clamp_num(2, 4, 6))
print(tips_clamp_num(1, -1, -6))
```

Output:

```4
-1
```