Python MinMaxScaler()

from sklearn.preprocessing import MinMaxScaler

#Normal minmaxscaler function to standarise data.
data = [[-1, 2], [-0.5, 6], [0, 10], [1, 18]]
scaler = MinMaxScaler()
scaler.fit(data)    

#get data for Max and Min from scaler functions, 
#best to store it in a dictionary and use it later make data normal again
print(scaler.transform([[2, 2]]))
Out>>> [[ 1.5  0. ]]

# Inverse transform the the 0-1 dataframe.
print(scaler.inverse_transform([[ 1.5  0. ]]))
Out>>> [[ 2.0  2.0]]

Source: stackoverflow.com

Similar codes

0 vote270 views1 answer
Pandas df.index.values
Python
0 vote271 views2 answers
Def check_zip_code(text): result = re.search(r'\d{5}(?:-\d{4})?', text) return result != None
Python
0 vote273 views1 answer
Python string to list without split
Python
2 votes276 views3 answers
Fibonacci series python using function
Python
1 vote291 views2 answers
One hot encoder python
Python
3 votes273 views2 answers
Python decouple
Python
0 vote272 views1 answer
Import system in python
Python
22 votes267 views3 answers
How to sort a list descending python
Python
2 votes280 views2 answers
Get a liste from a txt file python
Python
1 vote312 views1 answer
Number of column in dataset pandas
Python