问FeatureTools --如何将2列添加到一起？

EN

# Define the function
def feature_engineering_dataset(df):

    es = ft.EntitySet(id = 'stockdata')
    
    # Make the "Date" index an actual column cuz defining it as the index below throws
    # a "can't find Date in index" error for some reason.
    df = df.reset_index()

    # Save some columns not used in Featuretools to concat back later
    dates = df['Date']
    tickers = df['Ticker']
    dailychange = df['DailyChange']
    classes = df['class']

    dataframe = df.drop(['Date', 'Ticker', 'DailyChange', 'class'],axis=1)

    # Define the entity
    es.entity_from_dataframe(entity_id='data', dataframe=dataframe, index='Date') # Won't find Date so uses a numbered index. We'll re-define date as index later

    # Pesky warnings
    warnings.filterwarnings("ignore", category=RuntimeWarning) 
    warnings.filterwarnings("once", category=ImportWarning)

    # Run deep feature synthesis
    feature_matrix, feature_defs = ft.dfs(n_jobs=-2,entityset=es, target_entity='data', 
                                           chunk_size=0.015,max_depth=2,verbose=True,
                    agg_primitives = ['sum'],
                    trans_primitives = []
                    ) 

    # Now re-add previous columnes because featuretools...
    df = pd.concat([dates, tickers, feature_matrix, dailychange, classes], axis=1)
    
    df = df.set_index(['Date'])
    
    # Return our new dataset!
    return(df)

# Now run that defined function
df = feature_engineering_dataset(df)