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from sklearn.preprocessing import StandardScaler

import os

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from matplotlib import pyplot as plt
import os

scaler = StandardScaler()

sourceDataFile = os.listdir('../input')

f = open('../input/' + sourceDataFile[0])

creditDF = pd.read_csv(f)

X = creditDF.iloc[:, 0:30]
y = creditDF.iloc[:, 30:31]

scaledX = pd.DataFrame(scaler.fit_transform(X), columns=X.columns)

pd.plotting.scatter_matrix(scaledX.corr(), figsize=(30, 30))