import pandas as pd

from sklearn import preprocessing

hmeq = pd.read_csv('hmeq_small.csv')

# Standardize the data

standardized = preprocessing.scale(hmeq)

# Output the standardized data as a data frame with column names

hmeqStand = pd.DataFrame(standardized, columns=hmeq.columns)

# Normalize the data

hmeqNorm = pd.DataFrame(preprocessing.normalize(hmeq), columns=hmeq.columns)

# Output the normalized data as a data frame with column names

hmeqNorm = pd.DataFrame(normalized, columns=hmeq.columns)

# Print the means and standard deviations of hmeqStand and hmeqNorm

print("The means of hmeqStand are ", hmeqStand.mean())

print("The standard deviations of hmeqStand are ", hmeqStand.std())

print("The means of hmeqNorm are ", hmeqNorm.mean())

print("The standard deviations of hmeqNorm are ", hmeqNorm.std())