text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

path = '../input/'
train = pd.read_csv(path + 'train.csv', na_values=-1)
test = pd.read_csv(path + 'test.csv', na_values=-1)

train.head(5).T

cor = train.corr()
plt.figure(figsize=(16, 10))
sns.heatmap(cor, cmap='viridis')