Normalize data python pandas

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

Pandas normalize df

# min-max normalization:
df=(df-df.min())/(df.max()-df.min())

# or...

# mean normalization:
df=(df-df.mean())/df.std()

Function to scale features in dataframe

# define a method to scale data, looping thru the columns, and passing a scaler
def scale_data(data, columns, scaler):
    for col in columns:
        data[col] = scaler.fit_transform(data[col].values.reshape(-1, 1))
    return data

-1

Source: stackoverflow.com

Similar codes

2 votes190 views2 answers
Super in django manager
Python Django
0 vote133 views1 answer
Pyqt menubar example
Python
0 vote118 views1 answer
List the contents of a package python
Python
0 vote125 views1 answer
Python for comparing url path
Python
1 vote116 views1 answer
Convert string to class name python
Python
0 vote134 views1 answer
Python check if string contains one of characters list
Python
1 vote161 views2 answers
Django template iterate dict
Python Django
29 votes139 views3 answers
Print python float precision
Python
0 vote122 views1 answer
Facet grid, barplot, catplot
Python
35 votes130 views6 answers
Install matplotlib
Python