BasicFeature-datasetconcat.py

#1
def concat_df(train_data, test_data):
  #Returns a concatenated df of training and test set
  return pd.concat([train_data, test_data], sort=True).reset_index(drop=True)

#2
df_train = pd.read_csv('https://storage.googleapis.com/dqlab-dataset/challenge/feature-engineering/titanic_train.csv')
df_test = pd.read_csv('https://storage.googleapis.com/dqlab-dataset/challenge/feature-engineering/titanic_test.csv')
df_all = concat_df(df_train, df_test)

#3
df_train.name = 'Training Set'
df_test.name = 'Test Set'
df_all.name = 'All Set'

#4
dfs = [df_train, df_test]