Normalize data python

>>> from sklearn import preprocessing
>>>
>>> data = [100, 10, 2, 32, 31, 949]
>>>
>>> preprocessing.normalize([data])
array([[0.10467389, 0.01046739, 0.00209348, 0.03349564, 0.03244891,0.99335519]])

Source: educative.io

Normalize data python pandas

import pandas as pd
from sklearn import preprocessing

x = df.values #returns a numpy array
min_max_scaler = preprocessing.MinMaxScaler()
x_scaled = min_max_scaler.fit_transform(x)
df = pd.DataFrame(x_scaled)

Source: stackoverflow.com

Data normalization python

from sklearn import preprocessing
normalizer = preprocessing.Normalizer().fit(X_train)  
X_train = normalizer.transform(X_train)
X_test = normalizer.transform(X_test)

Similar codes

3 votes241 views3 answers
Import flask
Python Flask
2 votes209 views1 answer
Open applications by python
Python
23 votes223 views1 answer
Python month number from date
Python
1 vote181 views1 answer
Sftp python
Python
1 vote196 views1 answer
Heroku change python version
Python
0 vote187 views1 answer
Importing cosine from scipy
Python
0 vote191 views1 answer
Run all python files in a directory in windows
Python
19 votes180 views4 answers
Convert column series to datetime in pandas dataframe
Python
0 vote183 views2 answers
Callbacks to function pysimplegui
Python
9 votes190 views6 answers
How to use print in python
Python