application_vnd.jupyter.stderr_output_2.png text_plain_output_1.png
import pandas as pd

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

import pandas as pd
pd.set_option.max_rows = 50
import numpy as np
train_path = '/kaggle/input/house-prices-advanced-regression-techniques/train.csv'
test_path = '/kaggle/input/house-prices-advanced-regression-techniques/test.csv'
df_train = pd.read_csv(train_path)
df_test = pd.read_csv(test_path)
print('shape of train set', df_train.shape)
print('shape of  test set ', df_test.shape)
list_col_train = list(df_train.columns)
print('Train features : ', list_col_test)
list_col_test = list(df_test.columns)
print('test Features :', list_col_test)