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

27 votes260 views3 answers
Pandas replce none with nan
Python
1 vote239 views1 answer
Turn off axes matplotlib
Python
-2 votes260 views2 answers
Where to import reverse_lazy in django
Python
4 votes245 views2 answers
How to use ternary operater in python
Python
0 vote254 views1 answer
Programme phyton pour realiser un programme qui transforme une image en niveau de gris
Python
8 votes244 views3 answers
Python utf8
Python
0 vote279 views2 answers
Bar plot group by pandas
Python
2 votes268 views1 answer
Jupyter clear cell output programmatically
Python
0 vote257 views1 answer
Carnage
Python
1 vote293 views2 answers
Os.execl
Python