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

0 vote233 views1 answer
Soup = BeautifulSoup(page.content, 'html.parser') TypeError: 'module' object is not callable
Python
0 vote192 views1 answer
Python type hint class itself
Python
-1 vote224 views1 answer
Group by data
Python
0 vote215 views1 answer
How to apply tanH on pd dataframe
Python
0 vote214 views1 answer
Python turtle triangle
Python
61 votes195 views3 answers
How to make python remove the duplicates in list
Python
1 vote191 views1 answer
Google colab display entire array
Python
4 votes212 views2 answers
Python dump object print
Python
1 vote204 views2 answers
Get pytorch version
Python
0 vote210 views1 answer
How to check how many cameras are connected to device in python\
Python