Pandas normalize df

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()

Similar codes

-1 vote269 views2 answers
How to decode json python
Python
0 vote264 views1 answer
Python program for getting url, hostname, port numbers
Python
4 votes253 views1 answer
Django objects.create()
Python
8 votes274 views4 answers
Primes python
Python
3 votes265 views1 answer
PowerShell says “execution of scripts is disabled on this system.”
Python
37 votes272 views1 answer
Get current date datetime
Python
3 votes305 views1 answer
Python Program to check for balanced parentheses in an expression using stack class.
Python
20 votes284 views6 answers
Dict to list python
Python
0 vote224 views1 answer
Snipe cmd python.py
Python
1 vote297 views2 answers
Set recursion limit python
Python