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

0 vote163 views1 answer
Python PyDrive service account credentials
Python
0 vote163 views1 answer
Extends template django
Python Django
0 vote123 views1 answer
Print each item in list python single statemnt
Python
1 vote135 views1 answer
Pandas find location of values greater than
Python
0 vote119 views2 answers
Pandas profile report
Python
1 vote130 views1 answer
How to run commands in repl.ot
Python
1 vote133 views2 answers
Os path splitext
Python
0 vote114 views1 answer
How to copy content of one file to another in python
Python
22 votes212 views6 answers
How to execute a cmd command in python
Python
10 votes131 views1 answer
Https://docs.djangoproject.com/en/2.0/howto/static-files/
Python