df = df_data[['SalePrice', 'MSSubClass', 'MSZoning', 'LotFrontage', 'LotArea', 'Street', 'Alley', 'LotShape', 'LandContour', 'Utilities']].copy()

corrmax = df.corr()

f, ax = plt.subplots(figsize=(16,12))
sns.heatmap(corrmax, annot = True)