df_norm_col=(df-df.mean())/df.std() code example

Example 1: pandas standard deviation on column

dataframe['colname'].std()

Example 2: 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)