text_plain_output_1.png
from scipy import stats

import matplotlib.pyplot as plt

import numpy as np

import numpy as np # linear algebra

import pandas as pd

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

df_train = pd.read_csv('../input/house-prices-advanced-regression-techniques/train.csv')
df_test = pd.read_csv('../input/house-prices-advanced-regression-techniques/test.csv')

fig = plt.figure()
res = stats.probplot(df_train['SalePrice'], plot=plt)
plt.show()

df_train['SalePrice'] = np.log1p(df_train['SalePrice'])
fig = plt.figure()
res = stats.probplot(df_train['SalePrice'], plot=plt)
plt.show()