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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)
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pandas normalize df

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

# or...

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