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scale values in 0 100 python

import numpy as np

def NormalizeData(data):
    return (data - np.min(data)) / (np.max(data) - np.min(data))

X = np.array([
    [ 0,  1],
    [ 2,  3],
    [ 4,  5],
    [ 6,  7],
    [ 8,  9],
    [10, 11],
    [12, 13],
    [14, 15]
])

scaled_x = NormalizeData(X)

print(scaled_x)

Comment

scale values in 0 100 python

import numpy as np

def NormalizeData(data):
    return (data - np.min(data)) / (np.max(data) - np.min(data)) *100

X = np.array([
    [ 0,  1],
    [ 2,  3],
    [ 4,  5],
    [ 6,  7],
    [ 8,  9],
    [10, 11],
    [12, 13],
    [14, 15]
])

scaled_x = NormalizeData(X)

print(scaled_x)

Comment

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scale values in 0 100 python

scale values in 0 100 python

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