Normalize columns of pandas data frame

You can use the package sklearn and its associated preprocessing utilities to normalize the data.

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)

For more information look at the scikit-learn documentation on preprocessing data: scaling features to a range.