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DS-1000 / 913 / Right now, I have my data in a 3 by 3 numpy array. If I was to use MinMaxScaler…

Problem

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Problem:

Right now, I have my data in a 3 by 3 numpy array. If I was to use MinMaxScaler fit_transform on the array, it will normalize it column by column, whereas I wish to normalize the entire np array all together. Is there anyway to do that?

A:

<code>
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
np_array = load_data()
</code>
transformed = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
913
task_id
2b764a02-b8f7-51aa-acb5-b344b5b9da38
task_key
default--test--913
task_revision_id
1
config / split
default / test

Official source

initial import