text_plain_output_1.png
import matplotlib.pyplot as plt

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

import seaborn as sns

train = pd.read_csv('../input/train.csv')
holdout = pd.read_csv('../input/test.csv')

correlation_matrix = train.corr()
f, ax = plt.subplots(figsize=(12, 9))
sns.heatmap(correlation_matrix, vmax=0.8, square=True)