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

7 votes157 views3 answers
Sum of a numpy array
Python
0 vote178 views1 answer
Geopandas españa map
Python
0 vote166 views1 answer
Django insert bulk data
Python
0 vote170 views1 answer
Redirect stdout to variable python
Python
0 vote214 views1 answer
Insertar valor python
Python
1 vote156 views3 answers
How to sort values in python
Python
0 vote168 views1 answer
Check if argv exists python
Python
0 vote159 views1 answer
Python convert list to absolute value
Python
0 vote168 views1 answer
Python convert xml to dictionary
Python
27 votes172 views6 answers
How to check if there are duplicates in a list python
Python