from sklearn.preprocessing import MinMaxScaler
import numpy as np

# create sample data
data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# initialize scaler
scaler = MinMaxScaler()

# fit and transform data
scaled_data = scaler.fit_transform(data)

print("Original data:\n", data)
print("Scaled data:\n", scaled_data)