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

2 votes181 views1 answer
Check if user log in flask
Python Flask
1 vote164 views1 answer
Frequency
Python
1 vote110 views1 answer
Prime number between range program in python
Python
0 vote158 views2 answers
Make entry bigger in tkinter python
Python
0 vote173 views1 answer
How to respond to a number in python
Python
0 vote147 views1 answer
Data format pandas
Python
0 vote146 views2 answers
Deploy django on nginx gunicorn
Python
0 vote166 views1 answer
Django never_cache example
Python
8 votes154 views1 answer
Negative lookbehind javascript
Python
0 vote189 views1 answer
Auth proxy python
Python