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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:

NumPy Random: Normalize a 3x3 random matrix.

Python-Numpy Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

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")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m