text_plain_output_1.png
import matplotlib

import numpy as np

import pandas as pd

import seaborn as sns

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

matplotlib.rcParams['figure.figsize'] = (12.0, 6.0)
prices = pd.DataFrame({'price': train['SalePrice'], 'log(price + 1)': np.log1p(train['SalePrice'])})

all_data = pd.concat((train.loc[:, 'MSSubClass':'SaleCondition'], test.loc[:, 'MSSubClass':'SaleCondition']))

sns.distplot(train['SalePrice'], kde=False, color='b', hist_kws={'alpha': 0.9})