import numpy as np
from sklearn.preprocessing import MinMaxScaler


f = open("100.csv", "r")
data = f.read().split(" ")

df = np.array(data)

df = df.reshape(df.shape[0],1)
scaler = MinMaxScaler()

transformed = scaler.fit_transform(df)
print(transformed)