application_vnd.jupyter.stderr_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sb

df = pd.read_csv('../input/kc_house_data.csv')

#df correlation matrix
f,ax = plt.subplots(figsize=(12, 9))
sb.heatmap(df.corr(), annot=True, linewidths=.5, fmt='.1f', ax=ax)

sb.set()
cols = df[['price', 'sqft_living', 'grade', 'sqft_above', 'bathrooms', 'sqft_living15']]
sb.pairplot(cols, size=2.5)
plt.show()