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 votes166 views1 answer
Django admin prefetch_related
Python
1 vote166 views1 answer
Lausd clever
Python
1 vote194 views1 answer
How to use enumerate instead of range and len
Python
0 vote242 views1 answer
REMOVE ALL ROWS FROM DATFRAME WGICH HAS DATA OLDER THAN 3 MONTHS PANDAS
Python
0 vote170 views1 answer
Undef variable
Python
3 votes238 views2 answers
What day i s it
Python
10 votes213 views1 answer
Dataframe copy
Python
2 votes177 views1 answer
Generate a list of random non repeated numbers python
Python
2 votes181 views1 answer
Python list shift left
Python
2 votes167 views2 answers
Pyqt5 qtwebenginewidgets not found
Python