text_html_output_1.png
import pandas as pd

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

train = train_df[['MSSubClass', 'LotFrontage', 'LotArea', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'MasVnrArea', 'BsmtFinSF1', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', 'SaleCondition']]
test = test_df[['MSSubClass', 'LotFrontage', 'LotArea', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'MasVnrArea', 'BsmtFinSF1', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', 'SaleCondition']]

farms = [train, test]
whole_data = pd.concat(farms)

len(whole_data)