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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Find current directory and file's directory:
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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")
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- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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