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 vote329 views1 answer
Static instance and local variables in python
Python
9 votes291 views1 answer
Python convery list to array
Python
0 vote283 views1 answer
Matplotlib don't use the alpha value of the plot in legend
Python
0 vote338 views1 answer
Sound alerts in Jupyter for code completion and exceptions
Python
1 vote298 views1 answer
Nlargest hierarchy series pandas
Python
0 vote293 views1 answer
?: (admin.W411) 'django.template.context_processors.request' must be enabled in DjangoTemplates (TEMPLATES) in order to use the admin navigation sidebar.
Python
1 vote369 views1 answer
Read files and write into another files python
Python
0 vote312 views1 answer
Print Wavelet modes
Python
0 vote300 views1 answer
Python pandas markdown print export
Python
6 votes322 views3 answers
Python -m pip install
Python