text_html_output_1.png
import numpy as np # linear algebra

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

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

train.reset_index(drop=True, inplace=True)
train['SalePrice'] = np.log1p(train['SalePrice'])
train['SalePrice'].hist(bins=50)
y = train['SalePrice'].reset_index(drop=True)